SEED – Diagnostic
The student–led SEED (Self–replicating Environmentally–Embedded Diagnostic) team is developing a cell–based diagnostic tool using genetically modified live bacteria whose cells possess a natural ability to detect specific DNA or RNA sequences, potentially providing a diagnostic for a variety of conditions including COVID–19.
SnapDx – Diagnostic
SnapDx is developing a unique and completely instrument–free approach to multi–step molecular diagnostics for home and field settings, via an ultra low–cost, electricity–free, saliva–based molecular test for a variety of conditions including, COVID–19, seasonal flu, and malaria.
TrueImage – Digital Health
TrueImage has developed a machine learning application to evaluate and improve the quality of patient–captured images, including corrections for quality, skin blemishes, or skin pigmentation.
Hymecromone – Therapeutic
The ongoing COVID–19 pandemic continues to remind us that therapeutic options to address respiratory inflammation and fibrosis remain limited. The Hymecromone project is developing a unique therapeutic for treatment of pulmonary hypertension, and other diseases characterized by inflammation and fibrosis. With support from Catalyst, the Hymecromone team has completed a successful Phase 1 clinical trial and partnered with pulmonary experts and emerging biotech Halo Biosciences to advance clinical development.
PocketRN – Digital Health
PocketRN is developing a telenursing application to coordinate rapid, seamless communication between patients and nurses. With support from Catalyst, the PocketRN team worked with Stanford Health Care Nursing Administration to test and validate its algorithm–based, video–visit platform.
Cardinal Robotics – Med Tech
COVID–19 has made disinfecting work environments a high priority across all industries. The student–led Cardinal Robotics team is developing a low–cost, autonomous UV–C light generating robot technology to improve surface and air sanitization while protecting the user from exposure to UV–C radiation.
VIVA – Digital Health
VIVA (Video Visit triage using AI) is creating a robust patient triage model by combining the scalability of chatbots with the precision and accuracy of physician video assessment.