From artificial intelligence (AI) and data integration to natural language processing and statistics, the Cedars-Sinai Department of Computational Biomedicine is utilizing the latest technological advances to find solutions to some of the most complex healthcare issues.
UT Southwestern Medical Center has joined more than a dozen leading medical centers and Microsoft to form the Trustworthy & Responsible AI Network (TRAIN), a national group designed to set standards and safely explore applications of artificial intelligence (AI) in health care.
A new study from Mayo Clinic finds that socially isolated people are more likely to show signs of being biologically older than their age and more likely to die from a variety of causes.
In well logging interpretation, researchers incorporate logging response functions that incorporate domain knowledge into the loss function of data-driven machine learning models, which are used to constrain model outputs.
Columbia Engineering researchers develop a novel approach that can detect AI-generated content without needing access to the AI's architecture, algorithms, or training data–a first in the field.
The initiative will bring cyber and crisis management researchers from across campus together to support training and simulation exercises for public, private and non-profit sector partners.
The ATS 2024 International Conference Program is now live! Get ready for a series of dynamic scientific programming with presentations covering AI in thoracic medicine, the basic sciences, research breakthroughs and clinical treatment, as well as spotlighting the next generation of innovators in pulmonary, critical care and sleep medicine.
Study shows AI improves performance for some radiologists but worsens it for others. Understanding who might benefit from AI and who would not is critical for designing tools that boost human performance.
The University of California, Irvine has deployed a customized generative artificial intelligence solution called ZotGPT Chat. One of the first of its kind in the UC system, the tool was created to allow UC Irvine affiliates to explore AI in a safer, tailor-made environment.
When a star goes supernova, a massive burst of neutrinos is the first signal that can escape the density of the collapsing star. Detecting and analyzing this phenomenon in real time would allow us insight into stellar dynamics and, potentially, black hole formation.
Nobel Laureate Brian Kobilka, MD, and NASA Astronaut Jessica Meir, PhD, are among the highlighted speakers who will attend the American Physiology Summit, the American Physiological Society’s (APS) flagship annual meeting.
More than a hundred researchers convened to brainstorm tools with the potential to extend care beyond the clinic, help doctors optimize care for each patient, and empower people to manage their own care.
In an analysis of more than 3,000 European firms, they found that many – particularly in science, retail trade, finance, real estate and manufacturing – are increasingly opting for ready-made technology that can be tailored to the specific needs of the firm.
One group is using machine learning to develop a more reliable and efficient screening method for bladder cancer.
The National Science Foundation (NSF) has awarded SMU engineering professor Digvijay Boob a five-year CAREER grant to pioneer quicker, streamlined solutions that could speed up how AI learns from data to make predictions and decisions.
Michigan State University’s College of Social Science launched the Future of Work Initiative to address how technology will shape and change the future of work. To kick start this effort, the college held a conference convening those involved in the initiative with faculty from across MSU and representatives from community organizations to engage on this subject.
In a paper that will be presented at the Twelfth International Conference on Learning Representations (ICLR), taking place in Vienna on May 7 - 11, 2024, an NYU Tandon research team demonstrates how techniques that claim to "erase" the ability of models like Stable Diffusion to generate explicit, copyrighted, or otherwise unsafe visual content can be circumvented through simple attacks.
Mayo Clinic Platform launches Solutions Studio, a new program that accelerates the development, validation and deployment of digital health solutions and integrates them into healthcare workflows.
The Speech Accessibility Project, which aims to train voice recognition technologies to understand people with diverse speech patterns and disabilities, is recruiting U.S. and Puerto Rican adults with cerebral palsy.
In an article recently published in Scientific Reports, researchers from Bar-Ilan University reveal the mechanism underlying successful machine learning, which enables it to perform classification tasks with resounding success.
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