machine learning

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.
January 16, 2025

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.

By Bill Snyder
January 3, 2025

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.

By Paul Govern
June 24, 2024

Automated algorithm predicts risk of blood clots in hospitalized patients

This new entry to the field works in the background to provide real-time risk assessments, with no manual inputs from health care providers required.

By Paul Govern
May 8, 2024

Supercomputing redesign of a COVID monoclonal antibody

The approach, which combines high-performance computing, simulation, machine learning and experimental validation, will help keep antibody drugs up to date in the future against highly variable viruses.

By Leigh MacMillan
February 8, 2024

New algorithms show promise for predicting bipolar disorder risk

In a new study across three major U.S. health care systems, researchers developed and tested algorithms to predict who will develop bipolar disorder.

By Paul Govern
October 18, 2023

VUMC’s Wei Kelly Wu, Siru Liu named 2023 Stat Wunderkinds

Vanderbilt’s Wei Kelly Wu, MD, and Siru Liu, PhD, have been named 2023 Stat Wunderkinds.

By Paul Govern
July 20, 2023

Predicting gene expression may speed discovery: study

Researchers at Vanderbilt University Medical Center and the University of Cambridge have developed a method of or predicting gene expression in hard-to-access tissues like the brain from more accessible tissues, including whole blood.
By Bill Snyder
May 22, 2023

Project aims to improve ear disease diagnoses with objective machine learning techniques

A new project, funded by the National Institutes of Health (NIH), National Institute on Deafness and Other Communication Disorders (NIDCD) and led by Aaron Moberly, MD, and Metin Gurcan, PhD, professor and director of the Center for Biomedical Informatics and the Clinical Image Analysis Lab at Wake Forest University School of Medicine, aims to develop machine learning applications to analyze eardrum videos collected with a digital otoscope.
By Danny Bonvissuto
May 9, 2023

Neural networks probe proteins

A machine learning method based on neural networks outperformed a mutational scanning model at identifying disease-causing mutations in an Alzheimer’s disease protein, suggesting the method could be useful for facilitating therapeutic design.
By Leigh MacMillan
February 2, 2023

Machine learning aids injury prevention in cardiac cath labs

By Paul Govern
January 23, 2023

Machine learning predicts delirium

Using machine learning based on electronic health records of ICU patients predicted new-onset delirium with 82% sensitivity, Vanderbilt researchers found.
By Paul Govern
September 22, 2022

VUMC to lead AI ethics core for NIH project

Vanderbilt researchers will lead and comprise the greater part of an artificial intelligence research ethics core for a National Institutes of Health (NIH) program called Bridge to Artificial Intelligence, or Bridge2AI.
By Paul Govern