Results 211 to 220 of about 107,666 (263)

CD86‐Positive Mature Tertiary Lymphoid Structures Are Associated With CD8+ T‐Cell Infiltration and Favorable Clinical Outcomes in Pancreatic Ductal Adenocarcinoma

Annals of Gastroenterological Surgery, EarlyView.
CD86‐positive mature tertiary lymphoid structures were associated with increased intratumoral CD8+ T‐cell infiltration, a higher proportion of Granzyme B‐expressing CD8+ T cells in an exploratory analysis, and favorable clinical outcomes in pancreatic ductal adenocarcinoma.
Takaomi Seki, Kenichiro Araki, Takehiko Yokobori, Hayato Ikota, Norio Kubo, Takamichi Igarashi, Mariko Tsukagoshi, Norihiro Ishii, Yasuo Hosouchi, Hiroshi Saeki, Ken Shirabe   +10 more
wiley   +1 more source

Efficient Gaussian process-based motor hotspot hunting with concurrent optimization of TMS coil location and orientation. [PDF]

PLoS Comput Biol
Schultheiss DL, Turi Z, Boedecker J, Vlachos A.   +3 more
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Why recombination hotspots? [PDF]

PLoS Genet
Joseph J, Brazier T, Raynaud M, Glémin S, Baudat F, de Massy B, Lartillot N, Duret L.   +7 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Spatiotemporal dynamics of Aedes aegypti and Culex quinquefasciatus populations in Miami-Dade County, Florida. [PDF]

PLoS One
Vasquez C, Multini LC, Mutebi JP, SeRine E, Hill MD, Litvinova M, Ajelli M, Wilke ABB.   +7 more
europepmc   +1 more source

A user-friendly online tool for paleocoordinate calculation and 3D visualization. [PDF]

Sci Rep
Scholz-Murcia N, Rodríguez-Mena A, Madarnás-Gómez V, Monleón-Getino A.   +3 more
europepmc   +1 more source

Global analyses of genomic and epigenomic influences on gene expression reveal <i>Serpina3n</i> as a major regulator of cardiac gene expression in response to catecholamine challenge during heart failure. [PDF]

Epigenetics
Lahue C, Ravindran S, Dalal A, Avetisyan R, Rau CD.   +4 more
europepmc   +1 more source

Spatial distribution of diphtheria cases during the 2022/2023 outbreak in Kano State, Northern Nigeria. [PDF]

PLoS One
Garba RM, Umar ZA, Abdulkadir Z, Bashir U, Jalo RI, Jibril YN, Yusuf AA, Gurama KI, Suleiman AK, Ibrahim ZU, Sheriff S, Muhammad ID, Okolo C, Aborisade A, Olawumi AL, Abdulsalam K, Bello-Muhammad N, Ibrahim UA, Aliu-Isah OO, Yusuf MA, Galadanci AA, Gambo J, Yusuf YA, Adamu AL, Musa BM, Aliyu MH.   +25 more
europepmc   +1 more source

Disease Refuge or Ecological Trap: Location-Specific Performance of Amphibian Hotspot Shelters. [PDF]

Ecol Evol
Holmes ML, Kaiser SW, Basu SS, Berger L, Skerratt LF, Shine R, Waddle AW.   +6 more
europepmc   +1 more source