Multi-modal deep learning based on multi-dimensional and multi-level temporal data can enhance the prognostic prediction for multi-drug resistant pulmonary tuberculosis patients

Efficacy of the 'Five-Needle' method for pancreatojejunostomy in laparoscopic pancreaticoduodenectomy: an observational study

“…Third, the study was an exploratory study, with a small sample size that does not allow for definitive conclusions. Fourth, in the realm of clinical predictive modelling research, nonlinear analysis has progressively become a focal method, and multitemporal data hold greater value ( 21 , 22 ). Therefore, in future predictive studies, the incorporation of multidimensional and multitemporal models, as well as nonlinear models, should be duly integrated into the endeavours undertaken at our research centre.…”

Power of One Health: the first year of Science in One Health

“… No. Title Article Types Corresponding Author Nationality One Health Disciplines Cites Views 1 Science in One Health: A new journal with a new approach [ 2 ] Editorial Xiao-Nong Zhou/Marcel Tanner China/Switzerland / 1 2370 2 Low temperature catalytic conversion of carbon monoxide by the application of novel perovskite catalysts [ 3 ] Review Subhashish Dey India Climate changes 1 1450 3 Comparing and contrasting two United Nations Environment Programme reports on COVID-19 [ 4 ] Correspondence Colin David Butler Australia Zoonotic diseases 0 1151 4 Multi-modal deep learning based on multi-dimensional and multi-level temporal data can enhance the prognostic prediction for multi-drug resistant pulmonary tuberculosis patients [ 5 ] Perspective Shun-Xian Zhang China AMR 0 924 5 One Health training needs for Senegalese professionals to manage emerging public health threats [ 6 ] Research article Walter Ossebi Senegal Governance 1 1724 6 Incidence of dog bite injuries and its associated factors in Punjab province of Pakistan [ 7 ] Short communication Tariq Abbas Pakistan Zoonotic diseases 0 1177 7 Wastewater-based epidemiological investigation of SARS-CoV-2 in Porto Alegre, Southern Brazil [ 8 ] Research article Bruno Aschidamini Prandi Brazil Climate changes 1 630 8 …”

“…Lu et al. [ 5 ] put forward an idea that multi-modal deep learning based on dynamic data for multiple dimensions can provide a deeper understanding of personalized treatment plans for multi-drug resistant pulmonary tuberculosis.…”

Schistosomiasis transmission in Zimbabwe: Modelling based on machine learning

“…It involves designing and analysing algorithms that enable computers to learn automatically. Unlike statistical methods, in which variable relationships are explicitly defined, ML models can achieve accurate predictions more rapidly and have therefore become popular with regard to infectious diseases ( Bergquist et al., 2024 ; Lu et al, 2022 ; Rampogu, 2023 ). This approach has been used to identify high-risk areas for S. japonicum transmission ( Gong et al., 2021 ) and the parasite’s intermediate host in China Oncomelania hupensis ( Liu et al., 2023 ; Zheng et al., 2021 ).…”