NIH researchers work to preserve fertility for people undergoing gene therapy
Novel conditioning agent shows promise in animal models of sickle cell disease. (Source: National Institutes of Health (NIH) News Releases)
Source: National Institutes of Health (NIH) News Releases - October 12, 2023 Category: American Health Source Type: news

Researchers discuss concept of locally run LLMs
A team at the National Institutes of Health (NIH) has shown that it may be feasible to run large language models (LLMs) to generate x-ray reports on local systems without compromising patient privacy, according to a recent study in Radiology.Authors Ronald Summers, MD, PhD; and Pritam Mukherjee, PhD, discuss the research in this interview with AuntMinnie.com.  (Source: AuntMinnie.com Headlines)
Source: AuntMinnie.com Headlines - October 12, 2023 Category: Radiology Authors: Will Morton Tags: Imaging Informatics Artificial Intelligence Source Type: news

Response Requested: NIDCR  Requests Input on Proposed Research Initiatives
NIDCR Home   |   Careers   |   Contact Announcements The National Institute of Dental and Craniofacial Research (NIDCR) requests your input on proposed concepts (research initiatives) presented at the September 2023 National Advisory Dental and Craniofacial Research Council meeting. The initiatives are listed below. To read the full description and provide input, please visit: NIDCR Requests Input on FY2024 Proposed Research Initiatives   Initiatives:  ...
Source: NIDCR Science News - October 10, 2023 Category: Dentistry Source Type: news

Pregnancy complications increase and unmask short- and long-term cardiovascular risk for people with obesity
NIH-supported research provides broader understanding of how cardiovascular disease risk manifests following pregnancy. (Source: National Institutes of Health (NIH) News Releases)
Source: National Institutes of Health (NIH) News Releases - October 10, 2023 Category: American Health Source Type: news

Researchers explore concept of locally run LLMs
In this study, the Vicuna model was used as is, with no additional training or adjustments, they added.The group tested Vicuna using two publicly available and de-identified data sets, one comprised of 3,269 chest x-ray reports (MIMIC-CXR, developed by a group at the Massachusetts Institute of Technology) and the other an NIH data set consisting of 25,596 reports.Using two prompts for two tasks, the researchers asked Vicuna to identify and label the presence or absence of 13 specific findings on the reports, including cardiomegaly, edema, fracture, lung lesion, and pneumonia, for instance. The researchers then compared the...
Source: AuntMinnie.com Headlines - October 10, 2023 Category: Radiology Authors: Will Morton Tags: Artificial Intelligence Source Type: news