Tech & Health

Where are all the Alzheimer’s drugs?

A new study will use innovative methods developed at VUMC to look for drugs already approved for other uses that could potentially be repurposed to treat Alzheimer’s.

VUMC to develop AI technology for therapeutic antibody discovery

The approach will address “bottlenecks” that slow the traditional antibody discovery process, and it aims to make it possible to generate monoclonal antibody therapies against any target of interest.

Team finds a better way to identify newborns at risk for opioid withdrawal

By 2017, on the back of the opioid crisis, the rate of neonatal opioid withdrawal syndrome in the U.S. was estimated to have reached 7.3 per 1000 deliveries. Meanwhile, many newborns exposed to opioids in utero never develop the syndrome and must undergo needless monitoring in the hospital after birth.

Digital pathology aims to unlock secrets hidden in tissue samples

The pilot project, which is expected to digitize 500,000 slides over three years, aims to open avenues for research, assist with access to whole-slide images for education and clinical meetings (of tumor boards, for example), and facilitate planning for the implementation of digital pathology for diagnostic purposes. 

An AI-driven rendering and analysis of a holotomography-based 3D reconstruction of a tumor tissue sample derived from a spatial molecular experimental platform. Cancer cells (blue), stromal cells (green), and immune cells (red) are highlighted, while the extracellular matrix (ECM) appears in translucent green with a green arrow indicating its orientation. By integrating spatial molecular measurements, this approach offers single-cell and subcellular functional characterization, providing key insights into cellular interactions and communication in a three-dimensional context to deepen our understanding of the tissue’s architecture and composition.

VUMC to launch Molecular AI initiative to spur precision medicine, transplantation

The leader of the new initiative, Tae Hyun Hwang, PhD, will work to apply AI and other revolutionary technologies, including advanced molecular imaging techniques, to clinical practice.

AI tested for alerting clinicians of suicide risk at three VUMC clinics

At neurology clinics the system was used to flag 8% of arriving patients as having relatively high risk for suicide attempt in the next 30 days.

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