INDIA'S FIRST AI-POWERED DRUG-PATIENT SIMULATION PLATFORM

Predict How Any Patient Will Respond To Any Therapy

Next-generation AI simulates drug-patient outcomes across Indian biology in-silico so every clinical development decision is backed by evidence — accelerating trial timelines by up to 40% and replacing physical control arms.

IN-SILICO SIMULATION ACTIVE
N = 10,000 VIRTUAL PATIENTS
ALT & AST Panels Log-Log Co-Dep Thin-Fat Phenotype Visceral Ratio NCE Pharmacokinetics Michaelis-Menten Weibull Progression Semi-Markov S0–S3 AI TRIAL SIMULATION HR = 0.62 ↓ 38% Failure Rate 95% Conformal Triage Ambiguity 50% Control Cut Virtual Control Arm
40% Faster
Accelerated clinical trial timelines through in-silico cohort pre-screening & biosimulation
Up to 50%
Reduction in physical standard-of-care patient recruitment via Virtual Control Arms
Native Biology
Directly calibrated on domestic physiological distributions and multi-year disease trajectories
Explainable AI
95% conformal uncertainty coverage triage and patient-level biomarker feature attribution

The 10x Clinical Trial Deficit

India carries 17–20% of the world's disease burden but accounts for under 1.5–3% of global clinical trials. Existing trial protocols, predictive risk tools, and dosage regimes are built and validated almost entirely on Western or East Asian patient cohorts.

This population-calibration mismatch creates severe clinical hazards: drug clearance rates differ, adverse events go unpredicted, and standard-of-care control arms recruited in India behave biologically differently from foreign trial baselines.

Our Solution: Silicon Arm bridges this divide by generating high-fidelity, population-calibrated virtual patients and simulating multi-year disease progression trajectories in-silico — providing biopharmaceutical sponsors and clinical investigators with reliable, explainable decision support before physical trials begin.

Where We Collaborate to Accelerate Clinical Development

Discover and simulate trial solutions across priority disease indications, and actively collaborate with clinical trial sponsors, academic medical centers, and biotechnology innovators to optimize trial protocols and replace physical control arms.

1. Protocol Design & Optimization

Adjust inclusion/exclusion criteria, dosing titration schedules, follow-up durations, and primary endpoints to instantly see simulated outcomes, statistical power, and recruitment feasibility.

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2. Indication Selection & Disease Expansion

Predict drug efficacy and safety across diverse patient subpopulations and chronic conditions. Identify high-probability indications early using mechanistic response modeling.

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3. Target Product Profile (TPP) Modeling

Predict primary endpoints, biomarker clearance trajectories, and adverse reaction margins compared against current standard-of-care baselines.

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4. Probability of Technical Success (PTS)

Synthesize mechanistic PK/PD ODEs with Bayesian multi-state disease progression to quantify real technical success probability before physical capital commitment.

Core In-Silico Trial Programs

Select an indication below to enter its dedicated trial simulator, view population-calibrated preliminary findings, and explore clinical deliverables.

Preliminary Results Live 🫀

NAFLD / NASH

Metabolic Hepatology

38–40% national prevalence; silent progression to cirrhosis. Cost-optimal triage (θ*=0.40), global transaminase SHAP explainability, and 5-year progression & drug response simulation.

Pipeline in Development 🫁

Tuberculosis (TB)

Pulmonary & MDR-TB Regimens

27% of global burden; severe trial recruitment bottlenecks. Synthetic control arms cutting physical patient requirements by up to 50%, EBA bactericidal kill-curves, and cavitary disease progression.

Pipeline in Development 🩸

Type 2 Diabetes

Metabolic & Cardiorenal Axis

101M diagnosed; distinct Indian "thin-fat phenotype" with early beta-cell decay and accelerated nephropathy. Modeling eGFR preservation, liver-pancreas crosstalk, and dual incretin therapies.

Disease Indication Clinical Challenge in India In-Silico Solution Program Status & Action
NAFLD / NASH Metabolic Liver Disease 38–40% national prevalence; silent progression to cirrhosis. Cost-sensitive triage (θ*=0.40) & 5-year progression simulation. Preliminary Results Live →
Tuberculosis (TB) Pulmonary & MDR-TB Regimens 25% of global burden; severe under-enrollment in novel regimen trials. Bactericidal kill-curves & cavitary progression virtual control arms. Explore TB Testing Arm →
Type 2 Diabetes Metabolic & Cardiorenal Axis Thin-fat phenotype; early beta-cell decay and vascular events. eGFR decay & multi-organ crosstalk simulation for next-gen therapies. Explore Diabetes Axis →
Oncology & Immuno-Oncology Collaborative Development Distinct Indian genomic mutational profiles & delayed detection. Tumor microenvironment kinetics & synthetic checkpoint response arms. Partner to Co-Develop
Cardiovascular & Heart Failure Collaborative Development Early-onset coronary artery disease (CAD) 1–2 decades ahead of global baselines. Hemodynamic in-silico simulation & HFpEF clinical endpoint modeling. Partner to Co-Develop
Autoimmune & Rare Metabolic Diseases Collaborative Development Extremely sparse physical cohorts making traditional RCTs near impossible. Microsimulation from scarce clinical priors with conformal uncertainty. Partner to Co-Develop
DEDICATED ARCHITECTURE SHOWCASE

5-Layer Explainable Technology Stack

Engineered for mathematical auditability, clinical explainability, and regulatory alignment. Explore our animated interactive architecture demonstrating data harmonization, cost-optimal decision calibration, Bayesian copulas, Semi-Markov progression, and conformal triage.

01. DPDP Harmonization 02. θ*=0.40 Cost Stacker 03. Bayesian DAG Engine 04. Semi-Markov HSMM 05. 95% Conformal Triage

How We Collaborate: 4-Phase Co-Development Framework

PHASE 01
Data Harmonization
Secure ingestion of clinical records under strict DPDP compliance and zero-knowledge de-identification protocols.
PHASE 02
Prior Calibration
Adapting mechanistic ODE models and multi-state Semi-Markov Weibull distributions to candidate molecule biology.
PHASE 03
In-Silico Simulation
Simulating tens of thousands of virtual patient trial executions across varied dosing and synthetic control sizes.
PHASE 04
Regulatory Package
Generating mathematically auditable, transparent evidence dossiers for CDSCO and ethics committee protocol justifications.
CONFIDENTIAL TRIAL PROTOCOL INTAKE • RAPID FEASIBILITY

Submit Co-Development Request

Partner with Silicon Arm's clinical modeling team to calibrate virtual control arms, simulate dose-response efficacy, and de-risk protocol design for your candidate molecules. Direct lead contact: pabi@silico-arm.in.

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All scientific parameters are processed under strict zero-knowledge confidentiality standards.
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DPDP & HIPAA Compliant Zero PHI stored; mathematical priors only
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Mutual CDA / NDA Standard Full IP & proprietary molecule protection
48-Hour Feasibility SLA Direct review by computational biology team