Research

The science behind
‍smarter trials

Our research teams publish on innovative AI methods and advanced disease modeling to support clinical development across therapeutic areas.

Alzheimer’s disease
Amyotrophic Lateral Sclerosis
Asthma
Atopic Dermatitis
COPD
Coronary Artery Disease
Crohn’s disease
Dyslipidemia
Frontotemporal dementia
Huntington's disease
Hypertension
Migraine
Obesity
Osteoarthritis
Osteoporosis
Parkinson's disease
Psoriasis
Psoriatic Arthritis
Rheumatoid Arthritis
SCI
Stroke
Type 2 Diabetes
Ulcerative Colitis
Alzheimer’s disease
Amyotrophic Lateral Sclerosis
Asthma
Atopic Dermatitis
COPD
Coronary Artery Disease
Crohn’s disease
Dyslipidemia
Frontotemporal dementia
Huntington's disease
Hypertension
Migraine
Obesity
Osteoarthritis
Osteoporosis
Parkinson's disease
Psoriasis
Psoriatic Arthritis
Rheumatoid Arthritis
SCI
Stroke
Type 2 Diabetes
Ulcerative Colitis

Whitepapers

Deep dives from our team

Digital Twins
Defining Digital Twins in Drug Discovery and Development
Regulatory
A Risk-Based Approach for Leveraging AI in Clinical Trials
Regulatory
How to Position Clinical Trials with Digital Twins for Regulatory Success
AI & Machine Learning
A Fresh Approach to Precision Oncology Decision-Making
AI & Machine Learning
What AI Companies Need to Know About Clinical Development
AI & Machine Learning
The Scientific Intelligence Layer for Connected Clinical Trial Decisions
Regulatory
AI in the Trial Analysis: Interfacing with Regulatory Guidance

Research

Publications

Date
May 2026
AI & Machine Learning
Regulatory Considerations for Using Artificial Intelligence Models to Reduce Sample Sizes in Registrational Studies
Publisher
arXiv
Date
May 2026
AI & Machine Learning
FRESH: Information-Geometric Calibration of Patient-Level Models to Aggregate Evidence
Publisher
arXiv
Date
May 2026
AI & Machine Learning
Digital Twins as Synthetic Controls in Single-Arm Trials
Publisher
arXiv
Date
Jan 2025
AI & Machine Learning
Assessment of AI-generated digital twin methodology on reduction of treatment effect variance and potential clinical trial sample size saving using a Phase 2 trial dataset from patients with Alzheimer’s disease
Publisher
Alzheimer's Association
Date
May 2024
AI & Machine Learning
Digital Twin Generators for Disease Modeling
Publisher
arXiv
Date
Apr 2024
Clinical Research
Enhancing Longitudinal Clinical Trial Efficiency with Digital Twins and Prognostic Covariate-Adjusted Mixed Models for Repeated Measures (PROCOVA-MMRM)
Publisher
arXiv
Date
Nov 2023
Clinical Research
Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
Publisher
arXiv
Date
Sep 2023
Clinical Research
Addressing Concerns About Digital Twins in Clinical Trials
Publisher
arXiv
Date
May 2023
AI & Machine Learning
Neural Boltzmann Machines
Publisher
arXiv
Date
Dec 2022
Clinical Research
Evaluating Digital Twins for Alzheimer’s Disease using Data from a Completed Phase 2 Clinical Trial
Publisher
Alzheimer’s Association
Date
Dec 2022
Clinical Research
Prognostic Covariate Adjustment for Binary Outcomes Using Stratification
Publisher
arXiv
Date
Aug 2022
Clinical Research
Restricted mean survival time estimate using covariate adjusted pseudovalue regression to improve precision
Publisher
arXiv
Date
Dec 2021
Clinical Research
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
Publisher
De Gruyter
Date
Dec 2020
AI & Machine Learning
Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins
Publisher
arXiv
Date
Dec 2020
Clinical Research
Bayesian prognostic covariate adjustment
Publisher
arXiv
Date
Feb 2020
AI & Machine Learning
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks
Publisher
arXiv
Date
Sep 2019
AI & Machine Learning
Machine learning for comprehensive forecasting of Alzheimer’s Disease progression
Publisher
Nature
Date
May 2019
AI & Machine Learning
A high-bias, low-variance introduction to Machine Learning for physicists
Publisher
arXiv
Learn why leading biopharma sponsors trust our AI-powered products and solutions in their most important clinical programs.
Visit our Evidence page

Blog

Our perspectives

View all
Not every use of AI in trial analysis carries the same risk
Our response to the FDA's pilot on AI in early-phase trials
Decision Debt: The Cost Clinical Development Doesn't Track
The AI partner of choice for top pharma and biotechs
Contact us
SOLUTIONS
PlanMonitorAnalyze
RESOURCES
BlogEvidenceResearch
COMPANY
AboutCareersPress
CONNECT
TermsPrivacyData Acknowledgements
Sign in