SynaptiQ: An AI-powered platform for the prediction and prevention of hospital-induced delirium
An AI-powered, non-contact platform that continuously detects and helps prevent hospital-induced delirium, enabling early intervention while supporting clinicians and safeguarding patient dignity.
Neurobiologically Informed Targeted Schizophrenia Treatment
A medicine approach to schizophrenia that integrates multi-modal brain imaging and genomics to develop neurobiologically targeted therapies, aimed at restoring brain function.
Wound Alert
A pH-responsive hydrogel dressing that visually detects early burn wound infection in real time, while maintaining optimal protection and healing without equipment or clinical infrastructure.
Improving Anti-Cancer T Cells Through a Novel Patient-Centered Gene Software System
A novel, patient-data-driven framework that identifies circadian-regulator genes driving T cell exhaustion to support personalized cancer immunotherapy optimization.
From Bleeding to Healing; The Zebrafish Approach to Understanding Hemorrhagic Stroke Repair
Research that uses zebrafish models to study how statins affect brain cell growth and recovery after stroke, helping to inform safer, non invasive treatments.
SeniorCare Tech
A combination of AI powered, voice first technology and hands on workshops to help seniors manage daily routines independently, while keeping families informed through privacy respecting support.
Q-CaDD: Accelerating Silico Methodologies with Quantum Computation and Machine Learning for Epidermal Growth Factor Receptor
Computation simulation and machine learning to rapidly screen and identify promising cancer drug candidates, outperforming traditional methods despite current quantum hardware limits.
NeuroTraject
This project investigates whether artificially induced, light-based memories share genetic signatures with natural memories, informing new treatments for PTSD, Alzheimer’s disease, and other memory disorders.
Aletheia
A novel algorithmic diagnostic platform that identifies lupus and other autoimmune diseases through gene expression analysis, reducing diagnosis time from years to weeks using a single blood sample.
SynerDose: An AI Framework for Adaptive Cancer Therapy and Drug Resistance Management
An AI-powered decision-support system that applies machine learning and evolutionary modeling to personalize cancer therapies, improving outcomes while reducing toxicity and trial-and-error.