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Artificial intelligence for drug discovery: are we there yet?
Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …
Chemoinformatics and artificial intelligence colloquium: progress and challenges in develo** bioactive compounds
We report the main conclusions of the first Chemoinformatics and Artificial Intelligence
Colloquium, Mexico City, June 15–17, 2022. Fifteen lectures were presented during a virtual …
Colloquium, Mexico City, June 15–17, 2022. Fifteen lectures were presented during a virtual …
[HTML][HTML] The alzheimer's knowledge base: A knowledge graph for alzheimer disease research
Background As global populations age and become susceptible to neurodegenerative
illnesses, new therapies for Alzheimer disease (AD) are urgently needed. Existing data …
illnesses, new therapies for Alzheimer disease (AD) are urgently needed. Existing data …
Screening techniques for drug discovery in alzheimer's disease
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive and
irreversible impairment of memory and other cognitive functions of the aging brain …
irreversible impairment of memory and other cognitive functions of the aging brain …
Pathogenic tau induces an adaptive elevation in mRNA translation rate at early stages of disease
Alterations in the rate and accuracy of messenger RNA (mRNA) translation are associated
with aging and several neurodegenerative disorders, including Alzheimer's disease and …
with aging and several neurodegenerative disorders, including Alzheimer's disease and …
Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data
Background Plant specialized (or secondary) metabolites (PSM), also known as
phytochemicals, natural products, or plant constituents, play essential roles in interactions …
phytochemicals, natural products, or plant constituents, play essential roles in interactions …
The versatile role of TREM2 in regulating of microglia fate in the ischemic stroke
W Ma, S Wang, Q Wu, X Zhou, S Chu… - International …, 2022 - Elsevier
Microglia are the earliest activated and the longest lasting immune cells after stroke, and
they participate in almost all the pathological reactions after stroke. However, their regulatory …
they participate in almost all the pathological reactions after stroke. However, their regulatory …
Machine learning models identify predictive features of patient mortality across dementia types
Background Dementia care is challenging due to the divergent trajectories in disease
progression and outcomes. Predictive models are needed to flag patients at risk of near-term …
progression and outcomes. Predictive models are needed to flag patients at risk of near-term …
[HTML][HTML] Artificial intelligence and neuroscience: transformative synergies in brain research and clinical applications
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our
understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy …
understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy …
Integration of genome-scale data identifies candidate sleep regulators
Abstract Study Objectives Genetics impacts sleep, yet, the molecular mechanisms
underlying sleep regulation remain elusive. In this study, we built machine learning models …
underlying sleep regulation remain elusive. In this study, we built machine learning models …