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Artificial Intelligence in Retrosynthesis Prediction and its Applications in Medicinal Chemistry.
J Med Chem
January 2025
Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.
View Article and Find Full Text PDFVolatile Resistive Switching and Short-Term Synaptic Plasticity in a Ferroelectric-Modulated SrFeO Memristor.
ACS Appl Mater Interfaces
January 2025
Institute for Advanced Materials and Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China.
SrFeO (SFO) offers a topotactic phase transformation between an insulating brownmillerite SrFeO (BM-SFO) phase and a conductive perovskite SrFeO (PV-SFO) phase, making it a competitive candidate for use in resistive memory and neuromorphic computing. However, most of existing SFO-based memristors are nonvolatile devices which struggle to achieve short-term synaptic plasticity (STP). To address this issue and realize STP, we propose to leverage ferroelectric polarization to effectively draw ions across the interface so that the PV-SFO conductive filaments (CFs) can be ruptured in absence of an external field.
View Article and Find Full Text PDFThe effect of physical exercise and cognition-orientated interventions on post-stroke cognitive function: Protocol for an overview of reviews.
PLoS One
January 2025
Faculty of Health and Medicine, Lancaster University, Lancaster, United Kingdom.
Background: Strokes are becoming more common, and with improving survival rates, the prevalence of stroke survivors has increased. Almost half of chronic stroke survivors are cognitively impaired, and healthcare services are struggling to manage these patients, leaving some feeling "abandoned". Several systematic reviews have investigated the effect of physical exercise and cognition-orientated interventions on post-stroke cognitive impairment, and have produced conflicting findings, making it difficult for clinicians and guideline producers to make evidence-based decisions.
View Article and Find Full Text PDFAssociation Between Metabolomics Findings and Brain Hypometabolism in Mild Alzheimer's Disease.
Curr Alzheimer Res
January 2025
Student's Scientific Research Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative condition with rising prevalence due to the aging global population. Existing methods for diagnosing AD are struggling to detect the condition in its earliest and most treatable stages. One early indicator of AD is a substantial decrease in the brain's glucose metabolism.
View Article and Find Full Text PDFBackground: Telehealth is gaining importance in improving healthcare access and outcomes, particularly in underserved regions. Despite its potential, healthcare providers in developing countries struggle to effectively utilize telehealth tools, highlighting the need for structured training. This study aims to develop and validate a specialized tool to assess the telehealth educational environment, addressing the unique challenges of integrating clinical, technological, and interpersonal skills in telehealth education.
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