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| http://dx.doi.org/10.1177/0091415020937587 | DOI Listing |
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Eight quick tips for biologically and medically informed machine learning.
PLoS Comput Biol
January 2025
Dipartimento di Informatica Sistemistica e Comunicazione, Università di Milano-Bicocca, Milan, Italy.
Machine learning has become a powerful tool for computational analysis in the biomedical sciences, with its effectiveness significantly enhanced by integrating domain-specific knowledge. This integration has give rise to informed machine learning, in contrast to studies that lack domain knowledge and treat all variables equally (uninformed machine learning). While the application of informed machine learning to bioinformatics and health informatics datasets has become more seamless, the likelihood of errors has also increased.
View Article and Find Full Text PDFCreating custom GPTs for faculty development: An example using the Johari Window and Crucial Conversation frameworks for providing feedback to struggling students.
Med Teach
January 2025
Professor of Medicine and Executive Dean, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Feedback plays a crucial role in the growth and development of trainees, particularly when addressing areas needing improvement. However, faculty members often struggle to deliver constructive feedback, particularly when discussing underperformance. A key obstacle is the lack of comfort many faculty experience in providing feedback that fosters growth.
View Article and Find Full Text PDFSemblans: Automated assembly and processing of RNA-Seq data.
Bioinformatics
January 2025
Department of Biological Sciences, University of Illinois at Chicago, Illinois 60607, United States.
Motivation: Recent advancements in parallel sequencing methods have precipitated a surge in publicly available short-read sequence data. This has encouraged the development of novel computational tools for the de novo assembly of transcriptomes from RNA-seq data. Despite the availability of these tools, performing an end-to-end transcriptome assembly remains a programmatically involved task necessitating familiarity with best practices.
View Article and Find Full Text PDFDue to its heavy reliance on convenience samples (CSs), developmental science has a generalizability problem that clouds its broader applicability and frustrates replicability. The surest solution to this problem is to make better use, where feasible, of probability samples, which afford clear generalizability. Because CSs that are homogeneous on one or more sociodemographic factor may afford a clearer generalizability than heterogeneous CSs, the use of homogeneous CSs instead of heterogeneous CSs may also help mitigate this generalizability problem.
View Article and Find Full Text PDFApproaches, barriers, and facilitators in statewide initiative to combat opioid overdose: A narrative review of Ohio's Experiences During the HEALing Communities Study.
Prehosp Emerg Care
January 2025
Department of Emergency Medicine, MetroHealth Medical Center, Cleveland, OH.
Objectives: Opioid-associated fatal and non-fatal overdose rates continue to rise. Prehospital overdose education and naloxone distribution (OEND) programs are attractive harm-reduction strategies, as patients who are not transported by EMS after receiving naloxone have limited access to other interventions. This narrative summary describes our experiences with prehospital implementation of evidence-based OEND practices across Ohio as part of the HEALing Communities Study (HCS).
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