Results 111 to 120 of about 66,539 (264)
Ecologic Investigative Strategies to Determine Human Plague Exposure Sites, United States, 1991-2018. [PDF]
Eisen RJ, Osikowicz LM, Foster E.
europepmc +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
The plague of 1720 and migration in Martigues (France) in the 17th and 18th centuries. [PDF]
Darlu P, Séguy I.
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
Study on the differentiated impact of climate change on plague epidemics in Northern and Southern China, 1912-1949. [PDF]
Zhang L, Yin S, Ge M, Pang L.
europepmc +1 more source
Emergence, global dispersal, and local adaptations of <i>Yersinia pestis</i>, the agent of plague. [PDF]
Carcauzon V +5 more
europepmc +1 more source
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
Spatiotemporal analysis of plague risk in Tibet: Multi-source data-driven ensemble model development and validation. [PDF]
Guo L +5 more
europepmc +1 more source

