Results 131 to 140 of about 164,582 (264)

Chromoblastomycosis: a neglected disease [PDF]

Revista da Associação Médica Brasileira, 2019
openaire   +3 more sources

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Correction: Evaluation of the diagnostic accuracy of prototype rapid tests for human African trypanosomiasis. [PDF]

PLoS Neglected Tropical Diseases, 2015
PLOS Neglected Tropical Diseases Staff
doaj   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
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

Correction: Historical Perspective and Risk of Multiple Neglected Tropical Diseases in Coastal Tanzania: Compositional and Contextual Determinants of Disease Risk. [PDF]

PLoS Neglected Tropical Diseases, 2015
PLOS Neglected Tropical Diseases Staff
doaj   +1 more source

From invisibility to political power: Policy lessons from a decade of Brazil's Social Forum for Infectious and Neglected Diseases. [PDF]

PLoS Negl Trop Dis
Pinheiro EDS, Araújo CEL, Cunha ESM, Rocha AMD, Lopes Nunes Galvão D, Souza EA, da Silva MPCAM, Ramos AN.   +7 more
europepmc   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Correction: Extending the "social": anthropological contributions to the study of viral haemorrhagic fevers. [PDF]

PLoS Neglected Tropical Diseases, 2015
PLOS Neglected Tropical Diseases Staff
doaj   +1 more source

Next-Generation Vaccines Against Neglected Diseases: New Promises from Genetically Modified Live-Attenuated Parasites and RNA Vaccines. [PDF]

Microorganisms
Batista-Zauli MF, Brasil MECG, de Almeida-Júnior CR, de Abreu BGS, Dos Santos NSA, Ricci MF, Teixeira SMR.   +6 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source