Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.mehy.2007.01.024 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Clinicians' Guide to Large Language Models: A General Perspective With a Focus on Hallucinations.
Interact J Med Res
January 2025
Medical Directorate, Lausanne University Hospital, Lausanne, Switzerland.
Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. Considering the incredible potential of LLMs in medicine and the interest of many health care stakeholders for implementation into routine practice, it is therefore essential that clinicians be aware of the basic risks associated with the use of these models. Namely, a significant risk associated with the use of LLMs is their potential to create hallucinations.
View Article and Find Full Text PDFDigital Information Exchange Between the Public and Researchers in Health Studies: Scoping Review.
J Med Internet Res
January 2025
Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Background: Information exchange regarding the scope and content of health studies is becoming increasingly important. Digital methods, including study websites, can facilitate such an exchange.
Objective: This scoping review aimed to describe how digital information exchange occurs between the public and researchers in health studies.
Convening Hispanic/Latino Caregiving Advisors for Inclusive Research in Dementia Palliative Care.
J Palliat Med
January 2025
Division of Geriatric Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
Dementia clinical trials often fail to include diverse and historically minoritized groups. We sought to adapt the Alzheimer's Disease and Related Dementias-Palliative Care (ADRD-PC) clinical trial to improve enrollment and address the cultural needs of people with late-stage ADRD who identify as Hispanic or Latino and their family caregivers. Bilingual, bicultural research team members adapted study materials and processes using the Cultural Adaptation Process Model.
View Article and Find Full Text PDFPurpose: Effective diversity, equity, and inclusion (DEI) education is imperative to combat bias across health care organizations. The authors evaluated the effectiveness of interprofessional, simulation-based DEI training in improving clinicians' awareness, attitudes, and abilities regarding bias, racism, inclusion, microaggressions, and equity in the workforce.
Method: From October 2021 to June 2022, interprofessional clinicians at Children's National Hospital in Washington, DC, completed the Interprofessional Debrief on Racism, Equity, and Microaggressions (I-DREAM) training.
Transformer Decoder Learns from a Pretrained Protein Language Model to Generate Ligands with High Affinity.
J Chem Inf Model
January 2025
Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Consiglio Nazionale delle Ricerche, Via G. Amendola, 122/d, Bari 70126, Italy.
The drug discovery process can be significantly accelerated by using deep learning methods to suggest molecules with druglike features and, more importantly, that are good candidates to bind specific proteins of interest. We present a novel deep learning generative model, Prot2Drug, that learns to generate ligands binding specific targets leveraging (i) the information carried by a pretrained protein language model and (ii) the ability of transformers to capitalize the knowledge gathered from thousands of protein-ligand interactions. The embedding unveils the receipt to follow for designing molecules binding a given protein, and Prot2Drug translates such instructions by using the syntax of the molecular language generating novel compounds which are predicted to have favorable physicochemical properties and high affinity toward specific targets.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!