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Artificial intelligence in cancer research and precision medicine
Artificial intelligence (AI) is rapidly resha** cancer research and personalized clinical
care. Availability of high-dimensionality datasets coupled with advances in high …
care. Availability of high-dimensionality datasets coupled with advances in high …
Artificial intelligence in cancer target identification and drug discovery
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …
novel drugs from biology networks because the networks can effectively preserve and …
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman… - ar** drugs for central nervous system (CNS) disorders remains the most …
Machine learning approaches and databases for prediction of drug–target interaction: a survey paper
The task of predicting the interactions between drugs and targets plays a key role in the
process of drug discovery. There is a need to develop novel and efficient prediction …
process of drug discovery. There is a need to develop novel and efficient prediction …
[PDF][PDF] Artificial intelligence and machine learning in pharmacological research: bridging the gap between data and drug discovery
Artificial intelligence (AI) has transformed pharmacological research through machine
learning, deep learning, and natural language processing. These advancements have …
learning, deep learning, and natural language processing. These advancements have …
Graph embedding on biomedical networks: methods, applications and evaluations
Motivation Graph embedding learning that aims to automatically learn low-dimensional
node representations, has drawn increasing attention in recent years. To date, most recent …
node representations, has drawn increasing attention in recent years. To date, most recent …