The future of early cancer detection
A proactive approach to detecting cancer at an early stage can make treatments more
effective, with fewer side effects and improved long-term survival. However, as detection …
effective, with fewer side effects and improved long-term survival. However, as detection …
[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 …
[HTML][HTML] Swarm learning for decentralized artificial intelligence in cancer histopathology
Artificial intelligence (AI) can predict the presence of molecular alterations directly from
routine histopathology slides. However, training robust AI systems requires large datasets …
routine histopathology slides. However, training robust AI systems requires large datasets …
[HTML][HTML] The artificial intelligence and machine learning in lung cancer immunotherapy
Q Gao, L Yang, M Lu, R Jin, H Ye, T Ma - Journal of Hematology & …, 2023 - Springer
Since the past decades, more lung cancer patients have been experiencing lasting benefits
from immunotherapy. It is imperative to accurately and intelligently select appropriate …
from immunotherapy. It is imperative to accurately and intelligently select appropriate …
Translation of AI into oncology clinical practice
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
A handheld intelligent single-molecule binary bioelectronic system for fast and reliable immunometric point-of-care testing
Molecular tests are highly reliable and sensitive but lack portability and are not simple to
use; conversely, easy-to-use antigenic tests still lack high performance. BioScreen combines …
use; conversely, easy-to-use antigenic tests still lack high performance. BioScreen combines …
[HTML][HTML] A review on nature-inspired algorithms for cancer disease prediction and classification
In the era of healthcare and its related research fields, the dimensionality problem of high-
dimensional data is a massive challenge as it is crucial to identify significant genes while …
dimensional data is a massive challenge as it is crucial to identify significant genes while …
Artificial intelligence-aided optical imaging for cancer theranostics
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high
accuracy and high efficiency in medical decision-making for individualized cancer medicine …
accuracy and high efficiency in medical decision-making for individualized cancer medicine …
Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
Z Zhang, X Wei - Seminars in Cancer Biology, 2023 - Elsevier
The rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …
amount of collectable data obtained from high-throughput sequencing has led to an …
[HTML][HTML] Big data in basic and translational cancer research
Historically, the primary focus of cancer research has been molecular and clinical studies of
a few essential pathways and genes. Recent years have seen the rapid accumulation of …
a few essential pathways and genes. Recent years have seen the rapid accumulation of …