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DrugAssist: a large language model for molecule optimization.
Brief Bioinform
November 2024
Department of Computer Science, Hunan University, Changsha 410008, China.
Recently, the impressive performance of large language models (LLMs) on a wide range of tasks has attracted an increasing number of attempts to apply LLMs in drug discovery. However, molecule optimization, a critical task in the drug discovery pipeline, is currently an area that has seen little involvement from LLMs. Most of existing approaches focus solely on capturing the underlying patterns in chemical structures provided by the data, without taking advantage of expert feedback.
View Article and Find Full Text PDFWhat do medical students think about conscientious objection? A cross-sectional study from Turkey.
BMC Med Educ
January 2025
Honors College, University of Houston, Houston, USA.
Background: Physicians' refusal to perform medical procedures that they deem contrary to their conscience may threaten basic human rights and public health. This study aims to investigate the thoughts and attitudes of future physicians on conscientious objection (CO) and thus contribute to the discussions from a country more heavily influenced by Eastern values.
Methods: A cross-sectional multi-center study was conducted among medical students country-wide, where 2,188 medical students participated via an online survey.
An evaluation framework for clinical use of large language models in patient interaction tasks.
Nat Med
January 2025
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
The integration of large language models (LLMs) into clinical diagnostics has the potential to transform doctor-patient interactions. However, the readiness of these models for real-world clinical application remains inadequately tested. This paper introduces the Conversational Reasoning Assessment Framework for Testing in Medicine (CRAFT-MD) approach for evaluating clinical LLMs.
View Article and Find Full Text PDFHow have Ontario Public Health units engaged with faith-based organizations to build confidence in COVID-19 vaccines among ethno-racial communities.
PLOS Glob Public Health
December 2024
Centre for Global Health, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
In Ontario, collaborations between Public Health Units (PHUs) and faith-based organizations (FBOs) and other community organizations were implemented to deliver interventions aimed at building trust in vaccines among ethnoracial communities. This research sought to explore the processes of PHU engagement with FBOs, and challenges encountered. A qualitative research study based on in-depth interviews was conducted with 18 of the 34 Ontario PHUs who expressed an interest.
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