AI Solutions for Drug Development
AI models and applications to identify opportunities and increase efficiency in product development pipelines
Company profile
Company profile
Labcorp Drug Development is a division of Labcorp that provides comprehensive AI and real-world data solutions for the biopharma industry. The company operates at the intersection of diagnostic laboratory services and advanced analytics, offering data-driven insights that span from drug discovery through commercialization. With access to 45 billion diagnostic test results annually from 175 million patient encounters, Labcorp maintains one of the world's most extensive healthcare datasets. Their AI capabilities include predictive analytics for patient recruitment, pharmacokinetics modeling, fraud detection, natural language processing, and optical character recognition tools. The company supports over 5,100 clinical protocols and works with 186,000+ clinical investigator sites worldwide. Their solutions address critical challenges in drug development including protocol design, feasibility analytics, patient identification, and trial optimization. Labcorp's AI-powered platform, developed in partnership with Amazon Web Services (AWS) and Datavant, delivers longitudinal laboratory data with advanced analytics capabilities. The company serves pharmaceutical companies, biotechnology firms, and contract research organizations (CROs) with HIPAA-compliant, de-identified, ethically sourced data. Their therapeutic focus areas include neurology (particularly Alzheimer's disease), immunology, oncology, rare diseases, and cardiovascular conditions. All data solutions maintain regulatory-grade quality standards to support evidence generation for regulatory submissions and market access decisions.
Company description Labcorp Drug Development official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas · Hybrid deployment with recorded integration context.
Recorded integration context: AWS, Datavant, EHR/claims linkage.
Company milestones
Launched AI-powered real-world data platform for Alzheimer's disease in partnership with AWS and Datavant
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
AI models and applications to identify opportunities and increase efficiency in product development pipelines
Longitudinal laboratory data at scale with advanced analytics for Alzheimer's research
Self-service SaaS analytics for hypothesis validation and RWE exploration
At-home test collection to efficiently close gaps in care for health plan members
Alert tool to identify and engage newly diagnosed patients for clinical trials
Regulatory-grade real world data transformed into actionable insights for biopharma
Data-driven precision to accelerate clinical trials and reduce risk
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Journal of the American Society of Cytopathology · Jan 1, 2026
The Concise Guide to PHARMACOLOGY 2025/26: G protein-coupled receptors.British journal of pharmacology · Dec 1, 2025
Assessing the quality and making appropriate use of historical negative control data: A report of the International Workshop on Genotoxicity Testing (IWGT).Environmental and molecular mutagenesis · Dec 1, 2025
In vivo genotoxicity testing strategies: Report from the 8th International Workshop on Genotoxicity Testing (IWGT).Environmental and molecular mutagenesis · Dec 1, 2025
Breast Biomarker Cytology Practice in 2023: Results of a College of American Pathologists Survey.Archives of pathology & laboratory medicine · Dec 1, 2025
Combining Lumipulse p-tau217 and Aβ42/40 as confirmatory tests for Aβ positivity prior to disease-modifying therapy.Alzheimer's & dementia : the journal of the Alzheimer's Association · Sep 1, 2025
Clinical validation
NCT06258174 · Mentioned · COMPLETED
A Single and Multiple Ascending Dose Trial of CVL-354 in Healthy ParticipantsNCT05138653 · Mentioned · COMPLETED
PK Study to Assess Drug-drug Interaction Between Sitravatinib and a P-gp Inducer and an Inhibitor.NCT05255276 · Mentioned · COMPLETED
Safety, Tolerability, Pharmacokinetic, and Pharmacodynamic Study of MBX 2109 in Healthy Adult SubjectsNCT05158335 · Mentioned · COMPLETED
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Call center benefits verification using AI model
Fraud detection model implementation
NASH clinical study patient identification (34 of 54 subjects)
Applied artificial intelligence to benefits verification model to reduce pre-research time
More than 60% reduction in pre-research time
Fraud detection model examines flagged orders for irregular patterns
Estimated savings of up to $100,000 in the first year of rollout
AI predictions informed where to locate new subjects for NASH clinical study
34 out of 54 potential subjects tested positive (63% success rate)
05 · Leadership
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Recent articles published on Labcorp Drug Development's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.