Module 3 — 2026

AiYa is an AI-powered health intelligence platform that integrates multimodal biomarker data, longitudinal health signals, and female-specific research to generate personalized risk insights, adaptive lifestyle guidance, and structured N-of-1 health experimentation. Rather than diagnosing disease, AiYa functions as a precision decision-support system that helps users detect early physiological drift, test interventions, and track recovery capacity over tim

WellStackedLife Stack Builder is a prototype “longevity operating system” that helps people turn scattered, conflicting longevity advice into a personalized, executable stack of daily habits and tools. The opportunity is clear: most people cannot personalize longevity guidance to their biology, goals, and life context, and even when they know what to do, they struggle to execute consistently over years.

LifeLoop introduces an embodied AI-powered Digital Twin — a real-time computational model of human physiology designed to function as a personal longevity cockpit and conversational intelligence layer.

WellnessCoach AI addresses this gap by using artificial intelligence to synthesize a user's real-time wearable data into a personalized, action-oriented daily podcast delivered each morning. The app also integrates AI-mediated therapeutic sound frequencies informed by emerging research on auditory stimulation and sleep optimization. Passive data collection becomes an actionable, accessible, coach-like daily experience. WellnessCoach AI empowers individuals to actively extend their healthspan without the cost barrier of traditional coaching.

an AI-driven ovarian reversal program with the ambitious goal of preserving ovarian function to age 100. Using agentic AI systems, we conducts large-scale research analysis on the causal and correlational impacts of environmental exposures, genetics, disease history, and lifestyle factors on ovarian aging. Our AI agents maps the complete topology of ovarian aging pathways, uncovering intervention targets across each life stage to maximize ovarian function through personalized, phase-specific protocol

HealthyChoices is an AI-powered health learning system that helps people understand how their bodies respond to everyday behaviors across 26 health categories. Unlike conventional health apps that deliver opaque scores, HealthyChoices uses AI to explain biological mechanisms, surface uncertainty, and build mental models that make users genuinely smarter about their own health.

9MusesLive is an AI-powered behavioral activation platform that transforms music, dance, and visual arts into personalized, measurable health programs.

Genome Explorer AI is an innovative platform designed to make complex genetic and disease information understandable for patients and researchers. Many patients receive medical or genetic results that are difficult to interpret without advanced medical training. This gap often leaves patients confused, anxious, or disconnected. Genome Explorer AI addresses this challenge by offering an interactive, AI-powered assistant that simplifies genomics and disease pathways through clear, visual explanations and accessible language.

Total Plasma Exchange (TPE) is a clinically established procedure that removes circulating inflammatory mediators, senescence-associated proteins, and pro-aging factors from blood plasma. Emerging research suggests plasma dilution can reduce biological age markers, attenuate immune aging, and restore regenerative signaling. However, TPE is currently deployed without quantitative longevity endpoints, standardized protocols, or personalization.

SANA is an AI-powered “Longevity Operating System” designed to help individuals manage and optimize their long-term health through personalized protocols, supplement analysis, and health data integration.

ClarityScan AI is a bilingual (English/Chinese) medical imaging platform that provides AI-assisted diagnostic analysis for ultrasound, CT, and MRI studies. It offers structured, evidence-based findings with confidence scores, differential diagnoses, and follow-up recommendations — all within a HIPAA/PIPL-compliant workflow.

We explain in simple, easy-to-read terms when your food is poisoning you and what in your food is poisoning you, where your gut microbiome is disrupted, and how you can change your diet to avoid it. Our helpful Daily Exposure Calculator allows you to see how much you’re being exposed to various harmful substances and recommends healthier substitutes. We make this particularly intuitive via examples with hidden additives in common children’s foods and presets for different kinds of unhealthy but common daily meals, such as fast food and processed meats.

PHOS is an N=1 health intelligence system built across three evolutionary modules — from a vibe-coded Lovable.dev platform with Supabase-backed biomarker tracking (Module 1), to AI-powered lab OCR and multi-LLM analysis (Module 2), to a fully agentic reporting architecture (Module 3). It unifies all health data collected over the years into a single, queryable intelligence layer.

OrganAge is a consumer-facing AI platform that combines two complementary liquid biopsy signals – cell-free DNA (cfDNA) methylation/fragmentomics and exosomal miRNA profiling – processed entirely on XNA Labs’ Cloud Biolab platform to generate organ-specific biological age reports from a single blood draw. cfDNA methylation clocks (125 CpGs, median error ~3 years) provide tissue-of-origin aging signatures, while exosomal miRNA panels capture senescence-associated intercellular signaling invisible to DNA-based methods

umanSpan is a B2C platform initially focused on metabolic health through a nutritional lens. Using a structured Metabolic Test, moderate-to-severe symptoms activate functional domains that unfold into biological mechanism nodes before dietary patterns and behavioral inputs are analyzed. AI powers a “metabolic association web” that integrates symptom tracking, nutritional diaries, wearable data, and a curated, peer-reviewed knowledge base. The system identifies plausible correlations and translates them into additive and subtractive nutritional experiments, framed as testable hypotheses rather than diagnoses.

HersHisHealth is a gender-specific biotracking platform. Both deliver phase-specific protocols for supplements, nutrition, and training

VitOSTM is a comprehensive health indexing system and framework that identifies 50+ critical biomarkers, such as HbA1c, ApoB, to create a unified longevity score. In the project’s "Futurist Studio," participants transcend current research to prototype the next 20 years of human health, moving from static lab reports to dynamic systems maps and tangible research artifacts.

ScreenWise is a precision medicine platform that transforms cancer screening from a blunt population tool into a personalized longevity intervention. Developed at Stanford, it integrates landmark 2023–2025 trials to deliver individualized risk assessments across 11 cancer types — calibrated to ethnicity, genetics, family history, and age.

ZENBLOOM is an AI-powered stress intelligence app that uses real-time voice analysis to detect stress levels and emotional states. Through interactive dialogue with an AI “Zen Master,” journaling, AI-curated music matching, guided breathing, and longitudinal tracking in the “ZENBLOOM Garden,” the platform translates subtle vocal biomarkers into personalized calming interventions. The app enhances accuracy with facial analysis tagging and improved conversational AI

This project turns recovery from a vague feeling into an evidence-driven daily system. Athletes don’t recover as one number—they recover tissue by tissue. AI is the layer that fuses signals, flags risk early, and builds a personalized recovery playbook that gets smarter with every week of training.

the project proposes a groundbreaking forty-year reverse propagation evaluation model. It rigorously tests the foundational Proof-of-Human hypothesis: the explicit premise that human-imposed health constraints and precise stopping rules will consistently yield significantly higher robust utility over decades than unconstrained autonomous AI optimization.

TimeWarp Companion App for users of the TimeWarp Protocol. The app transforms a daily 6-capsule longevity regimen and 2-day monthly senolytic Renewal Window into a structured, trackable execution system.

Empowering patients to prevent oral diseases and detect early signs of pathology through data-driven, interactive education and AI screening

The ADHD Personal Optimizer is a high-impact digital intervention designed to bridge the gap between clinical therapy and daily self-management. While ADHD is often viewed through a behavioral lens, the economic and health implications are profound: studies indicate significantly reduced life expectancy and higher comorbidities of anxiety and depression (Barkley 2019). This application addresses the market need for a low-friction, low-cost "digital scaffold" to mitigate these risks

A personal bone health AI App along with education gives an unique chance to manage better themselves, coordinate with health providers/family/loved ones, and share prevention ideas intergenerationally. All participants helping the patient are helping their family, the community, and society. Keeping individuals independent and involved in their own health management makes for improved outcomes.

HerChange is an AI-powered digital health platform designed to transform menopause management into predictive, personalized care. The platform integrates symptom tracking, menstrual cycle irregularity, wearable-derived biomarkers (including HRV), sleep data, metabolic markers, and personalized nutrition analysis tailored to individual health goals and budget constraints.

Longevity Signal Radar is an AI-driven translational intelligence platform that continuously scans ClinicalTrials.gov to identify emerging intervention trends with potential longevity relevance. Using natural language processing and mechanism-based classification, the system maps trials to the hallmarks of aging, tracks cross-disease pathway reuse, and calculates a Longevity Relevance Index (LRI) to quantify acceleration and translational momentum.

Synergist v0 is a lightweight AI “research copilot” prototype (built with Lovable) that helps users check whether two longevity interventions are likely synergistic, antagonistic, a goal-dependent tradeoff, or unknown given the current evidence. The opportunity: more people run multi-intervention longevity stacks (supplements, exercise, fasting, peptides, drugs), but most tools focus on safety drug–drug interactions rather than whether interventions cancel each other’s benefits

This project implements three main functions: health data upload, generation of pentagonal health assessment charts, and AI-powered health recommendations. Specifically, the front-end uses Chart.js to draw radar charts (pentagonal graphs) based on different aspects like immunity, sleep, physical, etc., while the back-end employs Flask to handle requests and call the OpenAI API to generate recommendations to combat personal needs corresponding to the health index input by each individual. This project perfectly fulfills people’s need on getting familiar with their own health conditions through automatic and convenient processes. With the assistance of AI, users can automatically know how to ameliorate illnesses with customized and detailed suggestions. The code structure is clear and easy to extend, allowing for the addition of features such as user authentication and data persistence based on actual needs.

A full-stack longevity health management platform with three dedicated portals

Deep Breath is an AI-powered simulation engine that maps the domain of Oxygen Hormesis, providing a structured research review and an interactive mechanistic diagram to help users navigate this metabolic tension.

iwellU Human Resonance Engine (HRE) is an AI-assisted longevity research architecture that models aging as progressive loss of regulatory coherence across autonomic, immune, and metabolic systems. Current longevity tools often focus on isolated biomarkers or disease endpoints, missing the dynamic processes that determine recovery capacity and long-term resilience

MenoWell offers the optimal ecosystem to navigate the complex physiological shifts of the menopausal women. By centralizing symptom tracking, bone health analytics, and preventive screening schedules, the platform transforms fragmented data into providing the health trajectory of the individual. Users receive personalized AI insights, "What-If" simulations and clinical reasoning to make proactive adjustments before health risks escalate.

This project investigates the intersection of neurodiversity, genomics, and longevity by examining aging trajectories and Alzheimer’s disease risk among autistic adults. While autism research has largely focused on childhood outcomes, an increasing number of autistic individuals are entering midlife with distinct biological, environmental, and genetic exposures that may influence neurodegenerative vulnerability. These include neurodevelopmental genomic architectures, immune signaling variation, chronic sensory stress, sleep disruption, and potential overlap with Alzheimer’s risk genes

g an AI-powered platform that helps postpartum women stay on top of early screening and follow-up. The MVP lets users upload and track imaging reports, captures BI-RADS results, and sends reminders. It also supports optional genetic risk assessment and an optional research-mode feature to detect cancer- related DNA in breast milk during lactation or weaning. Wearables plus quick symptom/event logging add continuous signals—sleep, activity, HRV, resting heart rate, and weight trends—to update risk and generate “today’s next steps.”

MitoOptima AI addresses a critical bottleneck in longevity science: the progressive decline of mitochondrial function, a primary hallmark of biological aging. While mitochondrial health is the engine of longevity, personalized optimization is hindered by the complexity of multi-modal metabolic data.

The Protein Design Academy is a gamified, self-paced web platform that teaches learners with only introductory biology how to design proteins using state-of-the-art AI tools. Across 11 modules (51 sub-modules, 47 interactive games and exercises, 11 capstones, 6 integration exercises, and 5 advanced challenges) learners progress from amino acid fundamentals to executing the full de novo design pipeline. AI is both subject and substrate: learners master AI-driven design tools while the platform itself uses AI-powered tutoring and automated assessment to scale without human graders.

Smart Nutrition Assistant is a personalized, AI-powered nutrition assistant system that uses patient’s health history and laboratory clinical data into actionable daily meal plans. The system uses multimodal AI to extract lab values directly from user’s photos or electronic lab reports, then applies evidence-based clinical algorithms grounded in scientific research and reviews for multiple diseases like KDOQI 2020, KDIGO 2017 and 2022, ADA 2024 and other guidelines to generate personalized meals that simultaneously weighs renal, glycemic, cardiovascular, and gastrointestinal disease or constraints.

Longevity League is a gamified healthspan optimization platform that transforms biomarker tracking into a Pokémon-inspired experience. Users input 22 clinically validated biomarkers⁹ ¹⁰ ¹¹ and receive an AI-powered aging risk assessment with confidence scoring, classifying users as Healthy, At Risk, or Frail based on validated frailty phenotype criteria¹²

NestSense is a speculative concept for a crib-mounted hub that unifies six sensor modalities - acoustic cry analysis, facial action coding, thermal imaging, contactless photoplethysmography, 3D depth sensing, and environmental monitoring - into a single AI-driven “digital biosignature.” An on-device neural processing unit (26 TOPS) performs multimodal fusion in under three seconds, operating under a zero-knowledge privacy architecture where no raw data leaves the nursery.

Medial Arterial Calcification (MAC) is a hallmark of vascular aging driven by the convergence of autonomic nervous system decline, Vascular Smooth Muscle Cells osteogenic transdifferentiation, cellular senescence, and chronic low-grade inflammation. Despite decades of research, these pathways remain siloed across disciplines, preventing the identification of multi-target therapeutic strategies. No integrative computational platform exists to reason across these domains simultaneously

GynoLongevity is an AI-powered research assistant accelerating discovery at the intersection of female reproductive aging and longevity science. The core problem: identifying promising interventions for ovarian aging requires months of manual literature review, expert consultation, and trial design, a process inaccessible to most researchers.

VitalRadar Learn is a human-centered AI learning tool designed to build "trust literacy" in an increasingly automated world. As AI influences critical decisions in health, education, and careers, many learners struggle to evaluate the reliability of AI-generated outputs, leading to cognitive overload and poor decision-making.

The result is VetGeroTherapy, built around VetGraphRAG: a Neo4j knowledge graph of 1,500+ biomedical entities, powered by LLM reasoning, that generates explainable personalized geroprotective protocols at scale and learn

GeroLens is a longevity intervention intelligence platform that transforms fragmented aging research into structured, personalized decision support. The aging biology field is expanding rapidly, but clinicians and health-conscious individuals lack tools to synthesize evidence across interventions, hallmarks of aging, and clinical trials into actionable insights

Vitalife is an AI-powered nutrition intelligence platform that transforms food data into personalized, preventive guidance. Using OCR, nutrient analysis models, behavioral coaching algorithms, and adaptive meal planning systems, Brainie interprets dietary patterns, detects metabolic risk signals, and delivers evidence-aligned recommendations tailored to real-life constraints.

an AI-driven longevity intelligence platform that converts incidental imaging findings into actionable, personalized insights. Using large language models, system- level risk scoring, the platform estimates biological age, simulates future trajectories, and generates preventive intervention plans.

Repair Age proposes a framework for assessing systemic repair capacity across four biological axes: Immune Competence, Inflammatory Resolution, Hormonal Command, and Circadian & Autonomic function. It uses a three-layer architecture: a 36-question questionnaire, optional laboratory biomarkers (23 analytes), and physical autonomic tests

The 2035 Longevity Escape Velocity Protocol is a staged therapeutic protocol designed to maximize functional and cognitive lifespan using interventions with strong human evidence and realistic regulatory pathways. It targets the highest-impact, most evidence-supported mechanisms first.

Pubmed Longevity Research Assistant is a lightweight web app that helps users search longevity-related topics in PubMed and turn papers/abstracts into structured, plain-language insights

Penta Wellness addresses the growing challenge of personalized supplement management in the longevity and preventive health space. Most consumers lack the scientific literacy to design safe, effective supplement regimens, often relying on generic advice that ignores individual physiology and lifestyle factors.