Artificial intelligence in cancer research and precision medicine
Artificial intelligence (AI) is rapidly reshaping 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 …
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
Network-based machine learning approach to predict immunotherapy response in cancer patients
Immune checkpoint inhibitors (ICIs) have substantially improved the survival of cancer
patients over the past several years. However, only a minority of patients respond to ICI …
patients over the past several years. However, only a minority of patients respond to ICI …
Machine learning methods in drug discovery
The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
[HTML][HTML] Predicting drug response and synergy using a deep learning model of human cancer cells
Most drugs entering clinical trials fail, often related to an incomplete understanding of the
mechanisms governing drug response. Machine learning techniques hold immense promise …
mechanisms governing drug response. Machine learning techniques hold immense promise …
Gene expression based inference of cancer drug sensitivity
S Chawla, A Rockstroh, M Lehman, E Ratther… - Nature …, 2022 - nature.com
Inter and intra-tumoral heterogeneity are major stumbling blocks in the treatment of cancer
and are responsible for imparting differential drug responses in cancer patients. Recently …
and are responsible for imparting differential drug responses in cancer patients. Recently …
Cellular senescence and cardiovascular diseases: moving to the “heart” of the problem
K Evangelou, PVS Vasileiou… - Physiological …, 2023 - journals.physiology.org
Cardiovascular diseases (CVDs) constitute the prime cause of global mortality, with an
immense impact on patient quality of life and disability. Clinical evidence has revealed a …
immense impact on patient quality of life and disability. Clinical evidence has revealed a …
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
C Selvaraj, I Chandra, SK Singh - Molecular diversity, 2021 - Springer
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …
development as intractable and hot research. Developing new drug molecules to overcome …
A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening
Accurate and robust prediction of patient-specific responses to a new compound is critical to
personalized drug discovery and development. However, patient data are often too scarce to …
personalized drug discovery and development. However, patient data are often too scarce to …
An overview of artificial intelligence in oncology
E Farina, JJ Nabhen, MI Dacoregio, F Batalini… - Future science …, 2022 - Taylor & Francis
Cancer is associated with significant morbimortality globally. Advances in screening,
diagnosis, management and survivorship were substantial in the last decades, however …
diagnosis, management and survivorship were substantial in the last decades, however …