About Project Quintessence
A non-profit research foundation dedicated to transforming patient care through open, collaborative innovation
Our Story
How We Started
We started from a simple observation: too many good ideas in healthcare never make it to patients. Our founder, Dr. Abdulla Hourani, was working night shifts in hospitals when he kept seeing the same problems. Critical patients getting worse while doctors scrambled through disconnected systems. Important data buried in notes that no one had time to read properly. Smart people making decisions with incomplete information because that is all they had.
Building a Different Kind of Team
So we started recruiting. Not just doctors, not just engineers, but people who cared about both. Our team spans emergency medicine, machine learning, clinical research, and software development. What unites us is frustration with how slowly good technology reaches patients, and a shared belief that we can do better. We work on research projects because we want solutions that actually get used, not locked away behind corporate paywalls.
What We Do Now
Today, our team builds prediction models for ICU patients, develops language tools that can read medical notes, and advances imaging, ECG, echo, and decision-support research. Everything we make is research-driven. We work with hospitals that want to test new approaches, collaborate with universities on research, and share our findings publicly. It is not about building a company or chasing funding rounds - it is about making tools that help doctors save lives.
"Our goal is simple: turn strong research into tools that clinicians can trust and patients can benefit from."- Project Quintessence Team
Our Mission & Vision
Our Mission
"To radically improve patient outcomes by designing, developing, and deploying research-driven, clinically aligned, and ethically grounded AI systems for healthcare."
Why It Matters
We believe access to life-saving technology should not depend on where a patient lives or how much a hospital can spend. That is why our foundation focuses not on commercialization, but democratization - making AI tools that are scalable, transparent, and truly centered on the people they serve.
What We Do
Clinical AI Research
We build and evaluate machine learning and deep learning models to predict outcomes, personalize treatments, and automate diagnostics in critical care, cardiology, neurology, and oncology. Our research spans multimodal data - vitals, labs, ECGs, imaging, notes, and genomics - powered by explainable models.
LLMs & Language Intelligence in Medicine
We explore how large language models can be used to extract and reason over clinical narratives, create AI agents to assist physicians, and make unstructured medical data actionable.
Imaging, ECG & Echo Intelligence
We develop multimodal models for chest X-ray, ECG, echocardiography, and clinical context. When useful, computer vision and automation support the clinical research instead of becoming the focus.
Mathematical & Statistical Innovation
Our work includes the development of novel biostatistical methods, causal inference models, and predictive frameworks that enable hospitals and researchers to understand risk, optimize care, and drive outcome-based research.