Medicine & Health

Extract specific unmet clinical needs from guidelines, reviews and real-world studies

Mine clinical notes from MIMIC-IV to extract diagnostic reasoning patterns

Design internal, external, temporal and functional validation plans for medical studies

Audit imaging acquisition, reconstruction and protocol drift in radiology studies

Design and audit imaging ground truth, readers and ROI geometry for studies

Set disease pathways, endpoints and treatment timelines for clinical imaging studies

Design and audit radiology consensus guidelines and their recommendations

Plan and audit imaging data provenance, DICOM de-identification and sharing

Lock feasibility, population, estimand and validation plans for imaging studies

Plan and audit cost-effectiveness models, budget impact and HTA reporting for imaging

Audit parameter sources, metric fit and fair comparisons in imaging method studies

Design and audit radiomics pipelines with stable features and leak-free validation

Design clinical use, reader impact studies and deployment evidence for imaging AI

Convert clinical lab values between US and SI units and clean data quality issues

Extract heart and breathing rates from raw short-range radar I/Q captures

Estimate heart and breathing rates in bpm from radar, WiFi, PPG or chest signals

Classify germline variants with all 28 ACMG/AMP criteria and cited evidence

Detect drug safety signals in FAERS reports with PRR, ROR and IC scores

Map free-text tumor descriptions to OncoTree codes and cancer subtypes

Interpret somatic cancer mutations with CIViC and OncoKB evidence and therapy options

Review drug safety end to end from FDA labels, FAERS reports and trial data

Search NICE, WHO, NCCN and other clinical practice guidelines for treatment advice

Calculate bedside clinical risk scores such as CHA2DS2-VASc for one patient

Normalize drug and condition names to RxCUI and ICD-10-CM codes

Assess trial design feasibility, endpoints, population and regulatory path

Match patient molecular profiles to ranked oncology clinical trials

Draft a full clinical trial protocol that follows ICH E6 and FDA style

Compute sensitivity, specificity, AUC and Youden cutoffs for diagnostic tests

Build full disease reports on genetics, drugs, trials, prevalence and phenotypes

Check drug-drug interactions for CYP, transporter and pharmacodynamic effects

Check FDA and EMA approval status, generic availability and exclusivity dates

Find drug repurposing candidates from targets, compounds and disease networks

Profile drug targets, interactions, trials, adverse events and approval history

Run observational epidemiology studies from PECO question to statistical report

Assess the human safety liability of knocking down or inhibiting a gene

Predict checkpoint inhibitor response from TMB, MSI, PD-L1 and HLA status

Profile pathogens and screen repurposed drugs for infectious disease outbreaks

Browse TCIA cancer imaging collections and DICOM series by patient and modality

Characterize a disease across genomics, proteomics and pathways for biomarkers

Recommend gene-informed drug dosing from CPIC guidelines and metabolizer status

Compute Cmax, AUC, half-life, clearance and bioavailability from concentration data

Mine FAERS reports for drug safety signals, black-box warnings and label changes

Build and validate polygenic risk scores from GWAS summary statistics

Split patients into responder groups and risk tiers from genomic and clinical data

Recommend cancer therapies and trials from a tumor molecular profile

Track FDA device recalls, food and supplement reports and drug shortages

Rank rare disease diagnoses from patient phenotypes using HPO terms

Curate rare disease genes and assess gene-disease validity with GenCC and ClinVar

Classify structural variants with ACMG-style criteria, ClinGen dosage and gnomAD