15,600patient reports
20K+PubMed papers
12daily metrics
9medications tracked
87%data correlation
79%stress→symptom link
Ulcerative Colitis Insights, complete FAQ
How the platform works, what it tracks, and what it produces, every detail
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Platform overview
What Ulcerative Colitis Insights is, who built it, and how it's structured

Ulcerative Colitis Insights is an AI-powered ulcerative colitis platform synthesizing 15,600 real patient experiences and 20,000+ peer-reviewed PubMed publications to deliver actionable insights on symptoms, medications, diet, and symptom patterns.

Built by Ermal Hamzaj, it is free to download with a free account, and backs up all personal health data securely to the cloud so it's available across all your devices. Available on Android, iOS, and as a web app at ucinsights.org.

15,600patient reports
20K+PubMed papers
9medications
12daily metrics
87%data correlation
22+foods tracked

Primarily for ulcerative colitis patients who want to understand their own disease patterns, track symptoms between appointments, and arrive at their gastroenterologist with objective data rather than subjective descriptions.

Secondarily useful for caregivers managing a family member's ulcerative colitis, and for clinicians who want patients to arrive better prepared. The platform is bilingual, English and Turkish, expanding its reach to Turkish-speaking ulcerative colitis patients.

Without UCInsights
Patient arrives at appointment saying "I've been having a rough time lately." Doctor has no data. Visit limited to the 10-minute window.
With UCInsights
Patient arrives with UCAI trend, flare count, identified triggers, and average stress data from the past 30 days. Actionable conversation.

Two complementary sources power the platform:

1
Patient data: 15,600 real patient reports from Reddit r/UlcerativeColitis, IBD forums, and patient registries. All anonymized and categorized by symptom, treatment, and outcome.
2
Research data: 20,000+ peer-reviewed scientific papers, clinical studies, and physician research sourced exclusively from PubMed, covering every facet of ulcerative colitis from research institutions worldwide.

The custom LLM performs sentiment analysis, co-occurrence detection, and statistical correlation across both sources. Confidence intervals are calculated for each detected pattern.

1
Data layer, multi-source aggregation of patient reports and PubMed abstracts, categorized and anonymized.
2
AI engine, custom LLM performing NLP, sentiment analysis, co-occurrence detection, and statistical correlation. Outputs population-level patterns with confidence intervals.
3
Function modules, 11 user-facing modules split into research modules (population knowledge), tracking modules (personal logging), and personal modules (individual analytics). All produce one output: an informed patient ready for a productive appointment.
76%, Diarrhea
n = 9,730 reports
69%, Urgency
n = 8,800 reports
64%, Abdominal pain
n = 8,390 reports
58%, Rectal bleeding
n = 7,340 reports
51%, Chronic fatigue
n = 7,130 reports
78%, Entyvio response
Highest rated biologic
79%, Stress→spike link
Within 48 hours onset
78%, Banana safety
#1 tolerated food
87%, Data correlation
Cross-source accuracy

No. Ulcerative Colitis Insights is explicitly for informational purposes only. Content is based on AI analysis of patient community data and is not a substitute for professional medical consultation, diagnosis, or treatment. The platform carries a medical disclaimer and advises users to consult their gastroenterologist before making any changes to their treatment plan.

Its role is to bridge the information gap, giving patients the language, data, and context to have better conversations with their doctors, not to replace those conversations.

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Doctor–patient gaps
The problems Ulcerative Colitis Insights was built to solve, and the research behind them
1
Emotional distress goes unspoken. 49% of patients regret not telling their physician more. 57% wish they had talked more about treatment fears. 48% don't feel comfortable discussing emotional concerns at all.
2
Bowel urgency is underreported. 69% of patients experience urgency, yet it remains underappreciated in clinical settings and clinical trials. 54% experience it even during remission.
3
"Remission" means different things. Patients define it as feeling well and not impacted daily. Physicians define it endoscopically or histologically. A doctor can declare success while the patient still suffers.
4
Mental health is screened but not acted on. The 2025 ACG guidelines now formally require anxiety and depression screening, meaning years of patients went without it being raised at all.
5
Diagnosis support is too thin. 72% of patients wished for more information and support at initial diagnosis, the moment of highest disorientation and lowest support.
6
Appointments are too short. 63% of patients and 79% of physicians wish for longer appointments. Both sides agree; structurally nothing changes.
7
Advocacy organizations never mentioned. 84% of physicians consider them important, yet 54% never bring them up with patients.
SourceKey finding
Ulcerative Colitis Narrative Global Survey (2100 patients, 1254 physicians, 10 countries)72% wanted more info at diagnosis; 48% uncomfortable discussing emotions; 54% of physicians never mentioned advocacy orgs
CONFIDE Study (US + Europe, 2024)Bowel urgency underappreciated by HCPs despite being the dominant daily burden
Fecal Urgency in ulcerative colitis (Clin Gastroenterol Hepatol 2024)54% with urgency during remission; 32% met IBS criteria, overlap rarely addressed
2025 ACG GuidelinesNew formal requirement: screen all ulcerative colitis patients for anxiety and depression at every visit
Residual Inflammation in ulcerative colitis (PMC)No unified definition of remission exists between patients, physicians, and regulators
Frontiers in Health Services (2025)Ulcerative colitis patients feel left alone to cope with rectal treatment, pre-use concerns not addressed by HCPs
GapUlcerative Colitis Insights solution
Emotional distress unspokenStress is a logged metric with 48h correlation. Patients show data, not feelings.
Urgency underreportedUrgency tracked as named metric. 69% population prevalence makes it normalized to raise.
Remission definition mismatchUCAI score gives both sides a shared number on the Simplified Mayo Scale.
Mental health not addressedStress logging + trigger discovery surfaces mental health patterns between appointments.
Thin diagnosis supportAI search across 15,600 patient reports + 20K PubMed papers answers questions at any stage.
Short appointmentsAnalytics dashboard compresses weeks of data into one shareable summary.
Advocacy orgs unmentionedLive research news and community data surface the broader ulcerative colitis ecosystem continuously.

Bowel urgency is the most disruptive symptom of ulcerative colitis in daily life, yet it is consistently underreported in both clinical trials and patient–HCP interactions. Patients describe "bathroom mapping", being aware of every bathroom location before leaving home, as a constant burden.

The data from Ulcerative Colitis Insights' cohort shows 69% of patients report urgency (n=8,800). Clinical research shows 54% experience it even during remission, and 32% of those patients with urgency during remission meet criteria for IBS, an overlap almost never addressed in gastroenterology appointments.

What patients live with
Planning every outing around bathroom access. Not traveling. Avoiding social events. Experiencing anxiety about urgency-related accidents.
What gets discussed
Stool frequency. Rectal bleeding. Endoscopic scores. Urgency often not mentioned because patients assume it's normal or untreatable.
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Health tracker
12 daily metrics logged by the patient, the data foundation for everything else

12 metrics grouped into three categories:

Gut metrics
Bowel frequency · symptom severity (1–5, 8 symptoms) · meals
Lifestyle metrics
Water intake · sleep quality · medications taken
Wellbeing metrics
Stress level · activity · +4 additional metrics

Symptom severity covers 8 primary ulcerative colitis symptoms rated on a 1–5 scale per entry. Medications are drawn from the patient's personal medication list set up in the Medication Manager.

Ulcerative Colitis Insights' cohort data shows 79% of patients have a measurable stress→symptom spike link within 48 hours. This is the strongest single lifestyle correlate in the dataset, stronger than most food triggers for most patients.

Clinically, stress is a known gut-brain axis modulator in IBD. It does not cause ulcerative colitis, but it reliably worsens flares in susceptible patients. By logging stress daily and correlating it with the 48-hour symptom window, the tracker turns an abstract "stress worsens my ulcerative colitis" into a quantified, personal data point that can be shown to a gastroenterologist.

Patients also often underestimate their chronic baseline stress level when asked verbally in a clinical setting. The daily logged average reveals it objectively over time.

A 2025 study in Sleep Medicine found ulcerative colitis patients sleeping under 6 hours showed 3× higher disease activity scores, establishing sleep as a major modifiable risk factor. This makes sleep one of the highest-value lifestyle metrics to track.

Poor sleep disrupts circadian rhythm, which directly affects gut microbiome composition and mucosal immune function. The tracker captures both hours slept and quality rating, allowing the pattern model to detect whether it is sleep duration or quality that predicts that individual's flares.

Your personal health data is stored on your device and securely synced to your encrypted cloud account (powered by Supabase). Data is encrypted in transit with TLS and at rest with AES-256. Row-Level Security ensures only you can access your data — not even the UCInsights team can read it.

Cloud sync means you never lose your health history if you switch phones or lose your device. Your data is tied to your account, not to a single device. We never sell, share, or use your personal health data for advertising or AI training. You can request full account and data deletion at any time by emailing info@ucinsights.org.

1
UCAI score, a daily Simplified Mayo Score computed from bowel frequency and symptom severity inputs.
2
Trigger discovery, AI detection of which inputs consistently precede symptom spikes for that individual patient.
3
Personal analytics dashboard, visualized trend data covering flare days, stress averages, and Mayo score trend over time.

The UCAI score is available from day one, it computes from each day's inputs immediately. The 48-hour pattern model begins from the third day of logging.

Not publicly documented: how many days of data are required before trigger discovery produces statistically reliable results. Clinically, most pattern detection algorithms require 2–4 weeks of consistent daily logging before confidence intervals become meaningful. This is a key metric Ulcerative Colitis Insights should publish to set user expectations accurately.
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Data processing
How the 48-hour pattern model works under the hood
1
48-hour window. The model evaluates the current entry plus the prior 48 hours, not a single day in isolation. This captures lagged effects: a trigger food or stressful event that manifests as symptoms 1–2 days later.
2
Multi-factor correlation. The engine checks whether combinations predict symptom spikes better than single variables alone, stress plus a specific food, or poor sleep plus low activity. This is co-occurrence detection, the same NLP technique used on the 15,600 patient reports, now applied to personal data.
3
UCAI computation. The Simplified Mayo Score is calculated daily from bowel frequency and symptom severity. One number, one clinical scale, consistent over time.
4
Trigger discovery. Over accumulated log days, a 5×5 symptom correlation matrix surfaces which inputs consistently precede bad days for that individual specifically, not the average ulcerative colitis patient.
5
Personal pattern summary. All above feeds into a multi-factor pattern model that produces the analytics dashboard view: trend, flare count, average stress, top triggers.

The matrix cross-references 5 key lifestyle inputs (stress, sleep, food, activity, medication adherence) against 5 symptom outputs (bowel frequency, urgency, pain, bleeding, fatigue) to identify which input combinations have the strongest personal correlation with symptom spikes.

This produces a ranked list of personal triggers rather than generic population-level advice. The 79% population stress→symptom link is a baseline, the matrix finds whether that applies to this individual and which combination is most predictive for them specifically.

The exact variables populating each axis of the matrix are not publicly documented. The precise statistical method (Pearson correlation, Spearman, mutual information) is also not published, a gap for clinical validation purposes.

The 48-hour window is grounded in the population data: 79% of the Ulcerative Colitis Insights cohort shows a stress→symptom spike within 48 hours of a stress event. Food transit time through the gastrointestinal tract is typically 24–48 hours, meaning a dietary trigger often manifests 1–2 days later, not the same day.

A same-day-only model would miss most trigger relationships. The 48-hour window captures the biological delay between cause and symptom manifestation in ulcerative colitis.

Population data (15,600 patients)Personal data (1 patient, daily log)
NLP sentiment analysis on community textStatistical correlation on numeric time-series
Co-occurrence detection across forum posts48-hour lag correlation across log entries
Produces: prevalence rates, community patternsProduces: personal triggers, UCAI trend
Confidence intervals from n=15,600Confidence grows with days logged
Example: 79% have stress→symptom linkExample: this patient's stress threshold is 7/10
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UCAI score
Daily Simplified Mayo Score computed from logged data

UCAI stands for UC Activity Index, Ulcerative Colitis Insights' daily implementation of the Simplified Mayo Score, computed from the patient's own logged data. It converts "I feel okay / I feel bad" into an objective number on a validated clinical scale.

0–1Remission
2–4Mild
5–6Moderate
7–9Severe

A patient whose score is 4 today vs 6 last week has something concrete for their gastroenterologist. A score of 4 trending downward is a different clinical picture than a score of 4 trending upward, context the trend chart provides.

The full Mayo Score (0–12) requires four components: stool frequency, rectal bleeding, physician's global assessment, and endoscopic findings. The last two require clinical involvement, a physician's in-room rating and a colonoscopy. Neither is possible daily.

The Simplified Mayo Score uses only stool frequency and rectal bleeding, both directly logged by the patient in the health tracker. This makes it computable from app inputs without any clinical involvement while retaining clinical meaning as a validated IBD endpoint.

ComponentFull MayoSimplified (UCAI)
Stool frequency
Rectal bleeding
Physician's global assessment
Endoscopic findings
Computable by patient app

The remission definition gap is one of the most significant doctor–patient communication failures in ulcerative colitis. Research confirms no unified definition exists between patients, physicians, and regulators.

Patient definition of remission
Symptoms resolved, feeling well, disease not interfering with daily life.
Physician definition of remission
Mucosal healing (endoscopic), histologic normalization, or clinical score below threshold.

The UCAI score grounds both sides in a shared number. A score of 0–1 means clinical remission by Simplified Mayo criteria. If a physician says "you're in remission" but the patient's UCAI is 3, there is a conversation to have, enabled by data that both sides recognize.

Not publicly documented: the exact formula weights applied to each input; how partial days or missing inputs are handled; whether the score has been validated against clinician-assigned Simplified Mayo scores in a patient cohort; and whether the system accounts for baseline bowel pattern differences (a patient whose normal is 4 bowel movements/day reads differently on the scale than one whose normal is 1).
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Personal trigger discovery
AI-detected patterns from the individual's own log data

An AI layer that analyzes accumulated log entries to surface which specific inputs consistently precede bad days, for that individual patient, not the average ulcerative colitis patient. The population data shows 79% of users have a stress→symptom link. Trigger discovery asks: for you specifically, is it stress, sleep deprivation, a specific food, or a combination?

Generic advice (useless)
"Stress, dairy, and spicy foods are common ulcerative colitis triggers. Avoid these."
Trigger discovery (specific)
This patient's last 4 flares followed 2+ nights under 6 hours sleep combined with stress above 7/10.
Stress levels logged 24–48h before symptom spikes
Foods eaten before flare days vs calm days
Sleep quality and duration patterns over time
Activity levels and physical exertion logged
Medication adherence gaps (missed doses)
Co-occurrence of multiple factors, combinations stronger than single factors alone
Water intake levels relative to symptom days
Population dataPersonal trigger discovery
Sample15,600 ulcerative colitis patients1 individual patient
Output"79% have stress→symptom link""Your stress threshold is 7/10 for 2+ days"
UtilityContext and normalizationActionable behavioral change
ConfidenceHigh from day one (large n)Grows with days logged
Food guidance"78% tolerate bananas""You specifically had worse days after eating X"

This is the information a gastroenterologist cannot gather in a 10-minute appointment. A patient arriving with "my last 3 flares all followed two consecutive nights under 5 hours sleep plus high stress" is a fundamentally different clinical conversation than "I've been stressed lately."

It also changes the treatment conversation. A patient whose triggers are primarily lifestyle-based (sleep, stress) has different management priorities than one whose triggers are primarily dietary or medication-adherence-related. Trigger discovery makes this visible to both patient and doctor.

Not published: detection threshold for flagging a trigger, how many occurrences are required, false positive handling, whether triggers update dynamically as new data comes in, and how the system handles contradictory patterns (a food that correlates with both good and bad days).
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Personal analytics dashboard
The appointment-ready summary of everything tracked
1
Days logged, running count of consistent tracking. More days = more reliable trigger discovery. Also a compliance indicator: a patient with 45 days logged has meaningful data; one with 3 days does not.
2
Average stress, mean stress rating across the logged period. Reveals chronic baseline stress vs acute spikes, often different from what patients report verbally in clinical settings.
3
Flare days, count of days where UCAI crossed into active disease territory. Gives a concrete frequency: "4 flare days in the last 30 days" vs "I've been having a rough time."
4
Partial Mayo Score trend, UCAI plotted over time. Direction matters as much as the number. A 4 trending down is different from a 4 trending up, and both are different from a stable 4.
5
Personal trigger discovery panel, top patterns detected from the patient's own log history. The most clinically valuable element of the dashboard.
Clinical questionDashboard answer
How often are you flaring?Flare day count over logged period
Is your disease activity improving?Partial Mayo Score trend line
What is your current disease activity?Today's UCAI score
What is driving your flares?Personal trigger discovery panel
How stressed are you day to day?Average stress metric over time
Can I trust this data?Days logged, the consistency indicator
Not published: whether the dashboard exports as a PDF or shareable report for appointments; how far back the trend chart goes; whether it benchmarks patient scores against the 15,600-patient population average; and whether there is a "show your doctor" mode. Population benchmarking, "your flare frequency vs patients on the same medication", would be a high-value feature if it does not yet exist.
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Symptom explorer
Population-level symptom prevalence, trends, and correlation data

The symptom explorer tracks 8 primary ulcerative colitis symptoms with four data layers for each:

Prevalence data, what percentage of the 15,600-patient cohort reports this symptom
Monthly trends, how symptom reporting shifts over time in the community
Correlation matrices, which symptoms co-occur most frequently
Patient-reported discussions, community context from forum and registry data
76% Diarrhea
n=9,730
69% Urgency
n=8,800
64% Abdominal pain
n=8,390
58% Rectal bleeding
n=7,340
51% Chronic fatigue
n=7,130

Two clinical benefits: normalization and language. Knowing 69% of ulcerative colitis patients experience urgency normalizes it, making patients more likely to raise it with their doctor rather than assume it is untreatable or embarrassing. Knowing the exact prevalence number gives patients the language to quantify their experience in clinical terms rather than subjective descriptions.

Many ulcerative colitis patients assume their symptoms are unusual or that they are handling their disease worse than others. Population data corrects this, and makes patients more likely to engage honestly with their care.

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Community medication trends
9 medications with patient-reported outcomes, remission rates, and side effects

9 medications are tracked from Mesalamine (5-ASA, first-line) through to Rinvoq (upadacitinib, a JAK inhibitor). For each, three data points are available from the patient cohort:

Reported remission trends, percentage of community patients reporting remission on this medication
Side effects, most frequently reported adverse effects from community data
Community experience, qualitative patterns from forum and registry data on onset time, switching patterns, and real-world tolerability

Entyvio (vedolizumab) has the highest community-reported response rate at 78%, the top-rated biologic in the cohort. This aligns with the 2025 Gastroenterology Journal finding that 5-year GEMINI data confirms Entyvio maintains remission in 60% of moderate-to-severe ulcerative colitis patients.

The medication trends module fills a gap that clinical research data does not cover: real-world patient experience between clinical trial conditions and daily life. RCTs report efficacy under controlled conditions; community data captures how medications perform for real patients with varying adherence, diet, and lifestyle factors.

Clinical trial data
Entyvio: 60% maintained remission at 5 years in GEMINI study under controlled conditions.
Community data (UCInsights)
78% of community patients report positive response, real-world adherence and experience included.
Community-reported remission rates are not equivalent to clinical remission as defined by endoscopic or histologic criteria. They reflect patient-reported subjective improvement. This distinction matters clinically and should be communicated clearly to users comparing community data to RCT results.

Research from 2025 (Frontiers in Health Services) found ulcerative colitis patients feel left alone to cope with rectal therapy challenges, pre-use concerns and difficulties after first use are not adequately addressed by clinicians or pharmacists. This is a specific gap the medication trends data, combined with the Medication Manager's reminder system, partially addresses.

Community data on rectal formulations (suppositories, enemas) reveals real adherence patterns, practical tips, and common failure modes that no clinical trial documents, giving patients context that HCPs rarely provide.

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Food sentiment analysis
Patient-scored safety ratings for 22+ foods, Avoid, Safe, or Drinks

The custom LLM performs sentiment analysis on community discussions about food experiences from the 15,600-patient dataset. Every mention of a food in relation to ulcerative colitis symptoms is scored as positive (tolerated, no reaction) or negative (triggered symptoms, worsened urgency, caused flare).

Results are aggregated into three categories: Avoid, Safe, and Drinks, with a community sentiment percentage for each food. Banana leads at 78% safety rate, the most consistently tolerated food in the cohort.

Diet is one of the most frequently asked-about topics for ulcerative colitis patients and one of the most poorly answered by clinical resources. Clinical guidelines can recommend a Mediterranean diet reduces flare risk by 40% (2025 Journal of Crohn's and Colitis) but cannot tell an individual patient which specific foods affect their specific disease.

The food sentiment data fills the gap between population-level dietary guidelines and individual food choices, giving patients a starting point for self-experimentation grounded in what 15,600 other patients have experienced.

Food tolerability varies significantly between patients with different ulcerative colitis extent, activity level, and comorbidities. Community safety ratings are averages, a food that 78% of patients tolerate may still trigger symptoms in 22% of the cohort. Personal food logging in the health tracker provides individual-level data to supplement population averages.

Community food sentiment gives a population baseline. Personal meal logging in the health tracker, combined with trigger discovery, reveals whether a given patient deviates from that baseline. If 78% of patients tolerate bananas but this patient's trigger discovery flags banana consumption before flare days, the personal data overrides the population recommendation.

This is the intended workflow: community data informs initial choices, personal data refines them over time.

Medication manager & reminders
Personal medication list with smart reminders, works offline

The patient builds a personal medication list and sets custom daily reminder times for each medication. Push notifications fire at the set time, even when the device is offline. This directly addresses the medication adherence gap, which is a known predictor of ulcerative colitis flares and hospitalizations.

Medications logged via the reminder system feed directly into the health tracker as adherence data, which the trigger discovery model then correlates against flare days to detect missed-dose patterns.

Ulcerative colitis requires long-term maintenance therapy to prevent relapse. Studies show up to 40–50% of ulcerative colitis patients on 5-ASA maintenance therapy are non-adherent, and non-adherence is associated with a 5-fold increased risk of relapse compared to adherent patients.

Many patients stop taking medication when they feel well, the remission paradox. Rectal formulations are particularly prone to non-adherence due to practical difficulties that are rarely discussed in clinical visits. The medication manager addresses both the remission paradox (ongoing reminders even when feeling well) and the practical gap (reminder-based habit formation for complex dosing regimens).

Each day the patient confirms medication taken, the tracker logs it as an adherence data point. The 48-hour pattern model can then correlate missed doses with symptom spikes in the subsequent 24–48 hours, turning missed doses from an invisible factor into a visible trigger.

This is particularly valuable for patients on biologics with scheduled infusions or injections. Missing a scheduled dose of a biologic with a 4–8 week dosing interval can cause loss of remission that appears weeks later with no obvious cause. Logged adherence data makes that connection visible.

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Personal health profile
Contextualizes every AI answer with the individual patient's disease profile
Ulcerative colitis type, proctitis, left-sided colitis, or extensive/pancolitis. Disease extent directly affects which symptoms, medications, and dietary patterns are most relevant.
Diagnosis year, disease duration affects treatment context and long-term risk profiles (e.g. cancer surveillance requirements).
Baseline bowel pattern, the patient's personal normal. Essential for interpreting UCAI scores correctly: a patient whose baseline is 3 bowel movements/day reads differently on the Mayo scale than one whose baseline is 1.
Current medications, filters AI search results and community data to patients on the same treatment regimen, making every comparison more relevant.

When the profile is completed and personalization is opted in, every AI search answer filters the 15,600-patient cohort to patients with a similar profile before generating the response. A question about urgency during remission returns data specifically from patients with the same ulcerative colitis extent and on the same medication, not the full cohort average.

Without profile
"69% of ulcerative colitis patients experience urgency. Here is what the community says about managing it."
With profile (left-sided colitis, Entyvio)
"Among patients with left-sided colitis on vedolizumab, here is the urgency pattern and what has helped them specifically."
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Live research news
Real-time ulcerative colitis research feed with push notifications

A real-time ulcerative colitis research feed powered by Google News RSS, auto-updating with the latest clinical findings. Push notifications alert patients to new research relevant to their condition, new drug approvals, dietary findings, clinical guidelines, and trial results.

This addresses the patient advocacy gap directly: 54% of physicians never mention patient advocacy organizations or current research to patients. The live news feed means patients stay informed between appointments without relying on their doctor to surface new information.

JournalFinding
Gastroenterology 2025Vedolizumab maintains remission in 60% of moderate-to-severe ulcerative colitis patients at 5 years (GEMINI long-term data)
npj Digital Medicine 2025AI analysis of colonoscopy images combined with patient-reported outcomes enables biologic selection precision medicine
Journal of Crohn's and Colitis 2025Mediterranean diet linked to 40% lower ulcerative colitis flare risk in 3,200-patient, 3-year prospective cohort
Sleep Medicine 2025Ulcerative colitis patients sleeping under 6 hours show 3× higher disease activity scores, sleep as a modifiable risk factor
All function systems
Complete module map, all 11 features and their roles

Research modules, population knowledge from 15,600 patients + 20K papers

AI-powered search
Natural language Q&A across both data sources. Custom LLM.
Symptom explorer
8 symptoms, prevalence, monthly trends, correlation matrices.
Community medication trends
9 medications, remission rates, side effects, real-world experience.
Food sentiment analysis
22+ foods, Avoid / Safe / Drinks with community sentiment %.
Community search assistant
Bilingual EN/TR conversational AI on patient community data.
Live research news
Google News RSS feed with push notifications for new findings.

Tracking modules, personal logging and pattern detection

Health tracker
12 daily metrics: bowel, symptoms, meals, water, sleep, medications, stress, activity.
Pattern discovery
AI co-occurrence detection and 5×5 symptom correlation matrix.
Symptom pattern tracker
48-hour multi-factor model. Outputs UCAI Simplified Mayo Score.

Personal modules, individual analytics and management

Personal analytics dashboard
Flare days, stress avg, Mayo trend, trigger discovery panel.
Personal health profile
Ulcerative colitis type, diagnosis year, baseline bowel, medications. Personalizes AI.
Medication manager & reminders
Custom reminder times, push notifications, works offline.
1
Research modules give the patient population context: what percentage of people have this symptom, how other patients respond to a given medication, which foods are most tolerated. This is the external knowledge layer.
2
Tracking modules capture the patient's own daily reality: how their specific disease is behaving, what their body's response to stress, food, and sleep actually is. This is the personal data layer.
3
Personal modules synthesize both layers into actionable output: UCAI trend, named triggers, a shareable dashboard for the appointment. This is the output layer.

The three layers are designed to be used together: population data sets expectations, personal data refines them, personal analytics translates them into appointment-ready evidence.

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Clinical context
How Ulcerative Colitis Insights fits into the 2025 clinical landscape for ulcerative colitis

The 2025 American College of Gastroenterology guidelines updated the ulcerative colitis management framework with several recommendations directly relevant to Ulcerative Colitis Insights' value proposition:

Anxiety and depression screening is now formally required at every visit, Ulcerative Colitis Insights' stress tracking fills the between-visit gap.
Strategies should reflect patient goals and recognize the chronic nature of the disease, Ulcerative Colitis Insights surfaces personal goals and chronic patterns.
Fecal calprotectin recommended for assessing treatment response between endoscopies, the UCAI score provides a complementary patient-reported metric in the same interval.
Deep remission (symptomatic + endoscopic) is the preferred management target, UCAI data helps patients understand where they stand on the symptomatic component.
Ulcerative Colitis Insights does not replaceUlcerative Colitis Insights complements it by
Colonoscopy / endoscopic assessmentProviding symptomatic UCAI data between scopes
Physician's global assessmentGiving patients objective data to inform that assessment
Fecal calprotectin testingAdding patient-reported symptom context alongside the biomarker
Biologic infusion or injectionTracking adherence and correlating it with symptom outcomes
Mental health therapySurfacing stress patterns that warrant a referral conversation
Dietary consultationProviding population-level food safety data and personal food logs
⚠️
Known gaps & limitations
What is not yet published, documented, or available, and why it matters
GapWhy it matters
UCAI formula weights and input handling for missing dataClinical validity, doctors need to trust the score
Trigger detection threshold and minimum occurrences requiredUser expectation setting, how many days must be logged?
5×5 matrix variable definitions and statistical methodReproducibility and clinical credibility
Validation of UCAI against clinician-assigned scoresRequired for clinical adoption or HCP recommendation
False positive handling in trigger discoveryTrust, incorrectly flagged triggers erode platform credibility
How personal data updates dynamically as more days are loggedUser experience, patients need to know when results are reliable
1
Population benchmarking on the dashboard. "Your flare frequency vs patients on the same medication", the highest-value missing feature for clinical conversations.
2
PDF export / "show your doctor" mode. The analytics dashboard should be shareable in a single tap, a formatted one-pager for the appointment.
3
Published methodology page with confidence intervals. Required for HCP trust and potential clinical recommendation. A platform targeting the doctor–patient gap needs both sides to trust the data.
4
Baseline bowel pattern normalization in UCAI. The score should account for the patient's personal normal, not just clinical norms, already partially addressed by the personal health profile but not explicitly documented.
5
Minimum logging threshold indicator. A visible data quality signal showing when enough days have been logged for trigger discovery to be statistically meaningful.

The 15,600 patient reports are primarily sourced from Reddit r/UlcerativeColitis and IBD forums. This introduces selection bias: forum users skew toward patients with more severe or harder-to-manage disease (those with mild, well-controlled ulcerative colitis rarely seek online community support). Prevalence data from this cohort may overestimate symptom burden relative to the general ulcerative colitis population.

Additionally, community medication remission data reflects subjective patient-reported improvement, not clinical or endoscopic remission as defined in RCTs. The 78% Entyvio community response rate is not directly comparable to the 60% GEMINI RCT figure, different definitions are being measured.