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http://dx.doi.org/10.1080/01947640050174813 | DOI Listing |
bioRxiv
January 2025
UniverXome Bioengineering, Inc., (formerly known as AgeX Therapeutics Inc.), Alameda, California, USA.
Globally, there are 15 million stroke patients each year who have significant neurological deficits. Today, there are no treatments that directly address these deficits. With demographics shifting to an older population, the problem is worsening.
View Article and Find Full Text PDFJ Cheminform
January 2025
Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, UK.
Current strategies centred on either merging or linking initial hits from fragment-based drug design (FBDD) crystallographic screens generally do not fully leaverage 3D structural information. We show that an algorithmic approach (Fragmenstein) that 'stitches' the ligand atoms from this structural information together can provide more accurate and reliable predictions for protein-ligand complex conformation than general methods such as pharmacophore-constrained docking. This approach works under the assumption of conserved binding: when a larger molecule is designed containing the initial fragment hit, the common substructure between the two will adopt the same binding mode.
View Article and Find Full Text PDFJ Osteopath Med
January 2025
Department of Internal Medicine and Department of Pediatrics and Adolescent Medicine, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, MI, USA.
Context: In 2020, the allopathic and osteopathic residency programs were merged into a single residency system, with the Accreditation Council for Graduate Medical Education (ACGME) as the sole accreditor for residencies and fellowships in the United States. As a result of this merger, osteopathic recognition (OR) emerged as a unique approach to promoting osteopathic training and practice. However, there is a lack of data on the effects of OR in residency, specifically university-based residency programs.
View Article and Find Full Text PDFJAMA Netw Open
December 2024
SingHealth Polyclinics, Singapore.
Importance: This diagnostic study describes the merger of domain knowledge (Kramer principle of dermal advancement of icterus) with current machine learning (ML) techniques to create a novel tool for screening of neonatal jaundice (NNJ), which affects 60% of term and 80% of preterm infants.
Objective: This study aimed to develop and validate a smartphone-based ML app to predict bilirubin (SpB) levels in multiethnic neonates using skin color analysis.
Design, Setting, And Participants: This diagnostic study was conducted between June 2022 and June 2024 at a tertiary hospital and 4 primary-care clinics in Singapore with a consecutive sample of neonates born at 35 or more weeks' gestation and within 21 days of birth.
J Pharm Policy Pract
November 2024
Health Services Academy, Islamabad, Pakistan.
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