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 …
Independent drug action in combination therapy: implications for precision oncology
Combination therapies are superior to monotherapy for many cancers. This advantage was
historically ascribed to the ability of combinations to address tumor heterogeneity, but …
historically ascribed to the ability of combinations to address tumor heterogeneity, but …
[HTML][HTML] Effective drug combinations in breast, colon and pancreatic cancer cells
Combinations of anti-cancer drugs can overcome resistance and provide new treatments,.
The number of possible drug combinations vastly exceeds what could be tested clinically …
The number of possible drug combinations vastly exceeds what could be tested clinically …
SynergyFinder plus: toward better interpretation and annotation of drug combination screening datasets
Combinatorial therapies have been recently proposed to improve the efficacy of anticancer
treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug …
treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug …
[HTML][HTML] A review on machine learning approaches and trends in drug discovery
P Carracedo-Reboredo, J Liñares-Blanco… - Computational and …, 2021 - Elsevier
Drug discovery aims at finding new compounds with specific chemical properties for the
treatment of diseases. In the last years, the approach used in this search presents an …
treatment of diseases. In the last years, the approach used in this search presents an …
[HTML][HTML] Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet
Highlights•Artificial Intelligence (AI) has transformed many areas such as speech and image
recognition, but not yet drug discovery.•Approaches to AI in drug discovery need to take in …
recognition, but not yet drug discovery.•Approaches to AI in drug discovery need to take in …
Deep learning identifies synergistic drug combinations for treating COVID-19
Effective treatments for COVID-19 are urgently needed. However, discovering single-agent
therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV …
therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV …
A landscape of response to drug combinations in non-small cell lung cancer
Combination of anti-cancer drugs is broadly seen as way to overcome the often-limited
efficacy of single agents. The design and testing of combinations are however very …
efficacy of single agents. The design and testing of combinations are however very …
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
Motivation Drug combination therapy has become an increasingly promising method in the
treatment of cancer. However, the number of possible drug combinations is so huge that it is …
treatment of cancer. However, the number of possible drug combinations is so huge that it is …
Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased …
Artificial intelligence (AI) has experienced explosive growth in oncology and related
specialties in recent years. The improved expertise in data capture, the increased capacity …
specialties in recent years. The improved expertise in data capture, the increased capacity …