[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 …

[HTML][HTML] Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology

J Shao, J Ma, Q Zhang, W Li, C Wang - Seminars in cancer biology, 2023 - Elsevier
Personalized treatment strategies for cancer frequently rely on the detection of genetic
alterations which are determined by molecular biology assays. Historically, these processes …

DNA-framework-based multidimensional molecular classifiers for cancer diagnosis

F Yin, H Zhao, S Lu, J Shen, M Li, X Mao, F Li… - Nature …, 2023 - nature.com
A molecular classification of diseases that accurately reflects clinical behaviour lays the
foundation of precision medicine. The development of in silico classifiers coupled with …

Development of a tongue image-based machine learning tool for the diagnosis of gastric cancer: a prospective multicentre clinical cohort study

L Yuan, L Yang, S Zhang, Z Xu, J Qin, Y Shi, P Yu… - …, 2023 - thelancet.com
Background Tongue images (the colour, size and shape of the tongue and the colour,
thickness and moisture content of the tongue coating), reflecting the health state of the whole …

Lithium-ion battery thermal management via advanced cooling parameters: State-of-the-art review on application of machine learning with exergy, economic and …

SM Parsa, F Norozpour, S Shoeibi, A Shahsavar… - Journal of the Taiwan …, 2023 - Elsevier
Abstract Background Lithium-ion (Li-ion) batteries are one of the most attractive and
promising energy storage systems that emerge in different industrial sectors–at the top of …

Prevalence of functioning adrenal incidentalomas: a systematic review and meta-analysis

E Sconfienza, M Tetti, V Forestiero… - The Journal of …, 2023 - academic.oup.com
Context Adrenal hyperfunction is associated with an increased risk of cardiometabolic
complications in subjects with adrenal incidentaloma (AI). Reliable prevalence estimates of …

Endocrine tumor classification via machine-learning-based elastography: A systematic scoping review

YJ Mao, LW Zha, AYC Tam, HJ Lim, AKY Cheung… - Cancers, 2023 - mdpi.com
Simple Summary The incidence of endocrine cancers (eg, thyroid, pancreas, and adrenal)
has been increasing; these cancers have a high premature mortality rate. Traditional …

[HTML][HTML] Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosis

AC Faur, DC Lazar, LA Ghenciu - World journal of …, 2023 - ncbi.nlm.nih.gov
Pancreatic cancer (PC) has a low incidence rate but a high mortality, with patients often in
the advanced stage of the disease at the time of the first diagnosis. If detected, early …

Assessment and prediction of glioblastoma therapy response: challenges and opportunities

D Qi, J Li, CC Quarles, E Fonkem, E Wu - Brain, 2023 - academic.oup.com
Glioblastoma is the most aggressive type of primary adult brain tumour. The median survival
of patients with glioblastoma remains approximately 15 months, and the 5-year survival rate …

Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation

J He, J Li, S Jiang, W Cheng, J Jiang, Y Xu… - Frontiers in Public …, 2022 - frontiersin.org
Background Continuously growing of HIV incidence among men who have sex with men
(MSM), as well as the low rate of HIV testing of MSM in China, demonstrates a need for …