Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective

M Sufyan, Z Shokat, UA Ashfaq - Computers in Biology and Medicine, 2023 - Elsevier
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …

Nanovaccines with cell-derived components for cancer immunotherapy

Z Meng, Y Zhang, X Zhou, J Ji, Z Liu - Advanced drug delivery reviews, 2022 - Elsevier
Cancer nanovaccines as one of immunotherapeutic approaches are able to attack tumors by
stimulating tumor-specific immunological responses. However, there still exist multiple …

Machine learning for endometrial cancer prediction and prognostication

V Bhardwaj, A Sharma, SV Parambath, I Gul… - Frontiers in …, 2022 - frontiersin.org
Endometrial cancer (EC) is a prevalent uterine cancer that remains a major contributor to
cancer-associated morbidity and mortality. EC diagnosed at advanced stages shows a poor …

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

A Pahud de Mortanges, H Luo, SZ Shu, A Kamath… - NPJ digital …, 2024 - nature.com
Explainable artificial intelligence (XAI) has experienced a vast increase in recognition over
the last few years. While the technical developments are manifold, less focus has been …

An overview of machine learning methods for monotherapy drug response prediction

F Firoozbakht, B Yousefi… - Briefings in …, 2022 - academic.oup.com
For an increasing number of preclinical samples, both detailed molecular profiles and their
responses to various drugs are becoming available. Efforts to understand, and predict, drug …

[HTML][HTML] Neuromorphic computing with antiferromagnetic spintronics

A Kurenkov, S Fukami, H Ohno - Journal of Applied Physics, 2020 - pubs.aip.org
While artificial intelligence, capable of readily addressing cognitive tasks, has transformed
technologies and daily lives, there remains a huge gap with biological systems in terms of …

[HTML][HTML] Optimizing MRI-based brain tumor classification and detection using AI: A comparative analysis of neural networks, transfer learning, data augmentation, and …

A Anaya-Isaza, L Mera-Jiménez… - European Journal of …, 2023 - Elsevier
Early detection and diagnosis of brain tumors are crucial to taking adequate preventive
measures, as with most cancers. On the other hand, artificial intelligence (AI) has grown …

Future of artificial intelligence applications in cancer care: a global cross-sectional survey of researchers

BP Cabral, LAM Braga, S Syed-Abdul, FB Mota - Current Oncology, 2023 - mdpi.com
Cancer significantly contributes to global mortality, with 9.3 million annual deaths. To
alleviate this burden, the utilization of artificial intelligence (AI) applications has been …

An integrative transcriptome analysis reveals potential predictive, prognostic biomarkers and therapeutic targets in colorectal cancer

P Samadi, M Soleimani, F Nouri, F Rahbarizadeh… - BMC cancer, 2022 - Springer
Background A deep understanding of potential molecular biomarkers and therapeutic
targets related to the progression of colorectal cancer (CRC) from early stages to metastasis …

How human–AI feedback loops alter human perceptual, emotional and social judgements

M Glickman, T Sharot - Nature Human Behaviour, 2024 - nature.com
Artificial intelligence (AI) technologies are rapidly advancing, enhancing human capabilities
across various fields spanning from finance to medicine. Despite their numerous …