Informing immunotherapy with multi-omics driven machine learning
Progress in sequencing technologies and clinical experiments has revolutionized
immunotherapy on solid and hematologic malignancies. However, the benefits of …
immunotherapy on solid and hematologic malignancies. However, the benefits of …
Breakthroughs in AI and multi-omics for cancer drug discovery: A review
Cancer is one of the biggest medical challenges we face today. It is characterized by
abnormal, uncontrolled growth of cells that can spread to different parts of the body. Cancer …
abnormal, uncontrolled growth of cells that can spread to different parts of the body. Cancer …
The rise of scientific machine learning: a perspective on combining mechanistic modelling with machine learning for systems biology
B Noordijk, ML Garcia Gomez… - Frontiers in Systems …, 2024 - frontiersin.org
Both machine learning and mechanistic modelling approaches have been used
independently with great success in systems biology. Machine learning excels in deriving …
independently with great success in systems biology. Machine learning excels in deriving …
A review of mechanistic learning in mathematical oncology
Mechanistic learning refers to the synergistic combination of mechanistic mathematical
modeling and data-driven machine or deep learning. This emerging field finds increasing …
modeling and data-driven machine or deep learning. This emerging field finds increasing …
[HTML][HTML] Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning
Accurate simulation of tumor growth during chemotherapy has significant potential to
alleviate the risk of unknown side effects and optimize clinical trials. In this study, a 3D …
alleviate the risk of unknown side effects and optimize clinical trials. In this study, a 3D …
Bridging data gaps in healthcare: a scoping review of transfer learning in biomedical data analysis
Clinical and biomedical research in low-resource settings often faces significant challenges
due to the need for high-quality data with sufficient sample sizes to construct effective …
due to the need for high-quality data with sufficient sample sizes to construct effective …
Circadian and immunity cycle talk in cancer destination: from biological aspects to in silico analysis
Simple Summary The circadian cycle is a natural cycle of the body repeated every 24 h,
based on a day and night rhythm, and it affects many body processes. The present article …
based on a day and night rhythm, and it affects many body processes. The present article …
Biomarkers and computational models for predicting efficacy to tumor ICI immunotherapy
Numerous studies have shown that immune checkpoint inhibitor (ICI) immunotherapy has
great potential as a cancer treatment, leading to significant clinical improvements in …
great potential as a cancer treatment, leading to significant clinical improvements in …
Functional genomics of complex cancer genomes
F Menghi, ET Liu - nature communications, 2022 - nature.com
Cancer functional genomics is the study of how genetic, epigenetic, and transcriptional
alterations affect cancer phenotypes, such as growth and therapeutic response. Here, we …
alterations affect cancer phenotypes, such as growth and therapeutic response. Here, we …
Investigating nano-sized tumor-derived extracellular vesicles in enhancing anti-PD-1 immunotherapy
Anti-PD1 immune checkpoint blockade (ICB) has shown promising results for treating
several aggressive cancers, enhancing patient survival rates. The variability in clinical …
several aggressive cancers, enhancing patient survival rates. The variability in clinical …