Deep learning for healthcare: review, opportunities and challenges
Gaining knowledge and actionable insights from complex, high-dimensional and
heterogeneous biomedical data remains a key challenge in transforming health care …
heterogeneous biomedical data remains a key challenge in transforming health care …
Privacy and human behavior in the age of information
This Review summarizes and draws connections between diverse streams of empirical
research on privacy behavior. We use three themes to connect insights from social and …
research on privacy behavior. We use three themes to connect insights from social and …
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman… - ar** personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
[HTML][HTML] Deep patient: an unsupervised representation to predict the future of patients from the electronic health records
Secondary use of electronic health records (EHRs) promises to advance clinical research
and better inform clinical decision making. Challenges in summarizing and representing …
and better inform clinical decision making. Challenges in summarizing and representing …
[BOOK][B] Antifragile: Things that gain from disorder
NN Taleb - 2014 - books.google.com
Antifragile is a standalone book in Nassim Nicholas Taleb's landmark Incerto series, an
investigation of opacity, luck, uncertainty, probability, human error, risk, and decision-making …
investigation of opacity, luck, uncertainty, probability, human error, risk, and decision-making …
Deep learning in drug discovery: an integrative review and future challenges
Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of develo** new drugs. Deep learning (DL) …
since it significantly shortens the time and cost of develo** new drugs. Deep learning (DL) …
Toward better drug discovery with knowledge graph
Drug discovery is the process of new drug identification. This process is driven by the
increasing data from existing chemical libraries and data banks. The knowledge graph is …
increasing data from existing chemical libraries and data banks. The knowledge graph is …
Network-based prediction of drug combinations
Drug combinations, offering increased therapeutic efficacy and reduced toxicity, play an
important role in treating multiple complex diseases. Yet, our ability to identify and validate …
important role in treating multiple complex diseases. Yet, our ability to identify and validate …