Deep learning-enabled virtual histological staining of biological samples
Histological staining is the gold standard for tissue examination in clinical pathology and life-
science research, which visualizes the tissue and cellular structures using chromatic dyes or …
science research, which visualizes the tissue and cellular structures using chromatic dyes or …
[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …
advancement has been initiated and shaped by the applications of data-driven, robust, and …
Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms
M Botlagunta, MD Botlagunta, MB Myneni… - Scientific Reports, 2023 - nature.com
Abstract Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related
deaths in women. Despite several limitations, histopathological information about the …
deaths in women. Despite several limitations, histopathological information about the …
[HTML][HTML] Artificial intelligence in pancreatic cancer
B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …
The pancreatic cancer patients diagnosed with early screening have a median overall …
Artificial intelligence in oncology: current capabilities, future opportunities, and ethical considerations
The promise of highly personalized oncology care using artificial intelligence (AI)
technologies has been forecasted since the emergence of the field. Cumulative advances …
technologies has been forecasted since the emergence of the field. Cumulative advances …
A review of advanced multifunctional magnetic nanostructures for cancer diagnosis and therapy integrated into an artificial intelligence approach
The new era of nanomedicine offers significant opportunities for cancer diagnostics and
treatment. Magnetic nanoplatforms could be highly effective tools for cancer diagnosis and …
treatment. Magnetic nanoplatforms could be highly effective tools for cancer diagnosis and …
An overview and a roadmap for artificial intelligence in hematology and oncology
Background Artificial intelligence (AI) is influencing our society on many levels and has
broad implications for the future practice of hematology and oncology. However, for many …
broad implications for the future practice of hematology and oncology. However, for many …
[HTML][HTML] A systematic review of computational approaches to understand cancer biology for informed drug repurposing
F Ahmed, A Samantasinghar, AM Soomro, S Kim… - Journal of Biomedical …, 2023 - Elsevier
Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …
Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers
W **, Q Yang, H Chi, K Wei, P Zhang, G Zhao… - Frontiers in …, 2022 - frontiersin.org
Introduction Despite the many benefits immunotherapy has brought to patients with different
cancers, its clinical applications and improvements are still hindered by drug resistance …
cancers, its clinical applications and improvements are still hindered by drug resistance …
Harnessing predictive power: exploring the crucial role of machine learning in early disease detection
The incorporation of machine learning into healthcare has transformed the landscape of
disease detection, allowing for a paradigm shift from reactive to proactive approaches. This …
disease detection, allowing for a paradigm shift from reactive to proactive approaches. This …