Deep learning-enabled virtual histological staining of biological samples

B Bai, X Yang, Y Li, Y Zhang, N Pillar… - Light: Science & …, 2023 - nature.com
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 …

[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare

C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2024 - Elsevier
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 …

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 …

[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 …

Artificial intelligence in oncology: current capabilities, future opportunities, and ethical considerations

JT Shreve, SA Khanani, TC Haddad - American Society of Clinical …, 2022 - ascopubs.org
The promise of highly personalized oncology care using artificial intelligence (AI)
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

B Govindan, MA Sabri, A Hai, F Banat, MA Haija - Pharmaceutics, 2023 - mdpi.com
The new era of nanomedicine offers significant opportunities for cancer diagnostics 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

W Rösler, M Altenbuchinger, B Baeßler… - Journal of cancer …, 2023 - Springer
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 …

[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 …

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 …

Harnessing predictive power: exploring the crucial role of machine learning in early disease detection

S Rasool, A Husnain, A Saeed, AY Gill… - … : Jurnal Inovasi dan …, 2023 - jurnalmahasiswa.com
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 …