Afferent Health

afferent - /ˈafərənt/ - adj. conducting signals toward a central structure.

Afferent Health is an independent scientific and clinical R&D intelligence firm.We enable health systems, federal partners, and technology teams to transform complex clinical data into deployable decision-support capabilities by integrating advanced ML/AI development with the specialized expertise and personnel required for execution.

Team

D. K. Adrian Williams, MSc

MD-PhD Candidate

Computational Neuroscientist

Multimodal Clinical AI & Signal Processing

Founder & Principal

Joseph Scarpa, MD, PhD

Assistant Professor of Anesthesiology

Fellowship-Trained Liver Transplant Anesthesiologist

Computational Biologist & Multi-omics Scientist

NIA-Funded Principal Investigator

Medical Specialist

Ruben Coen-Cagli, PhD

Associate Professor of Systems & Computational Biology, Neuroscience, & Ophthalmology

Physicist & Computational Neuroscientist

NIH/NEI-Funded Principal Investigator

Scientific/AI Specialist

Capabilities

From complex clinical data to evidence, validation, and usable decision support.

Afferent provides the clinical and scientific workstream needed to define the problem, build the solution, and prove it works in practice.

Clinical data

Complete-record intelligence

We link and analyze waveforms, monitor data, laboratory results, health records, and clinical text to measure the problem and find actionable signal.

Clinical AI

Physiological models and decision support

We build models from raw physiological signals and the clinical record, then translate them into monitoring, prediction, and decision-support tools.

Validation and delivery

Evidence that holds up in practice

We test performance, safety, bias, and reliability across patients and sites. For prime-led federal teams, we define the clinical workflow, validation plan, acceptance measures, and specialist support needed to deliver.

Partners

Clinical and scientific solutioning inside an experienced federal delivery team.

Afferent leads clinical problem formulation, evidence, modeling, validation, acceptance metrics, and the specialized subject-matter expertise required for each work package. Prime partners lead account and capture management, proposal production, pricing, contracts, IT architecture, secure integration, application delivery, sustainment, and transition. Task-specific clinicians and scientists are engaged under appropriate agreements and confidentiality flow-downs.