Biomedical sensing & health AI

Biomedical sensors and AI for the health system's blind spots.

Vital Signals Systems is a biomedical technology company building sensors and AI software for every patient, with a focus on women's health and communities historically underrepresented in clinical research.

Hands of a healthcare professional, representing patient-centered care
01 Mission

Health technology should work for every patient.

Vital Signals Systems is a biomedical technology company building sensors and AI software for every patient, across genders, ages, and communities. We design medical devices that capture the body's signals, and AI that interprets those signals with rigorous validation for the people it serves.

Our work centers the patients whose voices and bodies have too often been left out of how health technology is built, including women across the lifespan, people of color, and communities historically underrepresented in clinical research.

Better signals. Better care. For every body.
02 Our Approach

Hardware and AI, designed together from the start.

We build at two layers at once: the precision sensors that capture the body's signals, and the AI software that interprets them. Both are designed and validated for the people they serve, not retrofitted after the fact.

Medical sensor and monitoring equipment
Sensors

Hardware that captures the body's signals

Multimodal biosignal sensors engineered for clinical reliability and real-world use. Built to capture physiological signals across the diverse bodies medical research has historically left out.

Data analysis on a laptop, representing health AI and analytics
AI

AI that turns signals into care

Deep learning models that interpret biomedical signals and patient communication in context. Rigorously validated for the populations they serve, not just the populations they were trained on.

03 Focus Areas

Where our work matters most.

We concentrate on health domains where the gap between what technology can do and what people actually receive is widest.

F.01

Women's Health Across the Lifespan

Fertility, reproductive health, perimenopause, menopause, and chronic conditions that affect women throughout their lives, with attention to the experiences clinical research has historically overlooked.

F.02

Digital Health Equity

Sensors and AI tools designed and validated from the start to serve Black, Hispanic, and other communities medicine has too often missed, with rigorous testing across the populations they are built for.

F.03

Care That Listens

Connecting what our technology measures with how patients and clinicians understand and act on it, so the signal becomes care, not just data.

04 Team

A founding team that bridges engineering and patient care.

Vital Signals Systems is built by founders working at the intersection of biomedical signals, artificial intelligence, and the human experience of health.

RC
Rim H. Chaif, Ph.D.
Co-Founder, Health AI Research

Bio coming soon.

AI
Ali K. Ibrahim, Ph.D.
Co-Founder, Biomedical Engineering

Bio coming soon.

05 Research

Peer-reviewed work and active studies.

Our work spans biomedical signal processing, medical imaging AI, women's health, and reproductive health research, with a focus on validating clinical AI for the patients it serves.

Biomedical AI & Signal Processing
2023
Epileptic Seizure Prediction Based on Multiresolution Convolutional Neural Networks
Frontiers in Signal Processing
2021
Deep Learning for Drug Discovery: Identifying High Efficacy Drug Compounds Using a Cascade Transfer Learning Approach
Applied Sciences
2020
Segmentation of Intracranial Hemorrhage Using Semi-Supervised Multi-Task Attention-Based U-Net
Applied Sciences
2020
Diabetic Retinopathy Severity Level Classification Using Multimodel Convolutional Neural Networks
IEEE EMBC
2019
Validation of miRNAs as Breast Cancer Biomarkers with a Machine Learning Approach
Cancers
2018
Classification of White Blood Cells with PatternNet-Fused Ensemble of Convolutional Neural Networks
IEEE ISSPIT
2018
A Machine Learning Approach for the Classification of Kidney Cancer Subtypes Using miRNA Genome Data
Applied Sciences
2018
A Study on Automatic Detection of IDC Breast Cancer with Convolutional Neural Networks
ICCSC
Women's Health & Reproductive Health
2026
When Open Access Is Not Equal Access: How Gender Shapes Framing, Support, and Community Responsiveness in Online Infertility Communities
Doctoral Dissertation, University of Kansas
2025
"More Like a Drug Cartel Than a Baby Plan": A Multimodal Analysis of Reproductive Narratives in Online Infertility Communities
Health
2025
"Too Afraid of Them Messing Me Up": Computational Analysis of Women's Contraceptive Risk Negotiation in Online Health Communities
Under review
06 Contact

Let's build something that actually works for people.

We are actively seeking partners for funded research, clinical collaborations, product validation work, and strategic engagements. If your work touches biomedical sensing, health AI, or equitable digital health, we want to hear from you.

Partnerships & Inquiries
Headquarters
Boca Raton, Florida
United States
Practice
Sensors + AI
Sectors
Clinical & Consumer
Headquarters
Boca Raton, FL
Established
2026