Results 201 to 210 of about 163,881 (272)

Characteristics of tertiary lymphoid structures in prostate cancer and the impact of neoadjuvant therapy on their formation and maturation. [PDF]

Front Immunol
Liu S, Yu Y, Zhou J, Yang L, Yan X, Liu X, Ma K, Liu L, Wang X, Zhao C, Dong Q.   +10 more
europepmc   +1 more source

Mature Tertiary Lymphoid Structures Indicate Good Chemotherapy Response and Prognosis in Advanced Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
In advanced colorectal cancer, tumors with mature tertiary lymphoid structures (TLS) exhibited abundant infiltration of CD3‐ and CD8‐positive lymphocytes in both primary and metastatic sites, indicating an activated immune response. The presence of mature TLS was also associated with favorable chemotherapy sensitivity and improved prognosis.
Nobuhiro Hosoi, Chika Komine, Gendensuren Dorjkhorloo, Takuya Shiraishi, Takuhisa Okada, Akihiko Sano, Makoto Sakai, Takehiko Yokobori, Ken Shirabe, Hiroshi Saeki   +9 more
wiley   +1 more source

Associations of the HER2DX Genomic Test with Biological and Pathologic Features in HER2-Positive Breast Cancer. [PDF]

Clin Cancer Res
Sanfeliu E, Martínez-Romero A, Marín-Aguilera M, Cobo S, González-Farré B, Hernandez-Illan E, Jares P, Puig-Butillé JA, Muñoz M, Gómez-Bravo R, Tapia M, Tebar C, Saura C, Escrivà-de-Romaní S, Soberino J, Cortés J, Morales S, Amillano K, Paré L, Villagrasa P, Buckingham W, Pardo F, Parker JS, Brasó-Maristany F, Ciruelos E, Sánchez-Bayona R, Martinez-Sáez O, Cejalvo JM, Prat A.   +28 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Severe leukemoid reaction and spontaneous tumor lysis syndrome in a young patient with undifferentiated Lynch syndrome-associated ovarian cancer. [PDF]

Gynecol Oncol Rep
Watkins CMS, Allahifard M, Cattoni J, Montemorano L.   +3 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

The dual role of glucocorticoids in the breast cancer immune microenvironment: mechanisms and therapeutic implications. [PDF]

Front Immunol
Liang B, Wang X, Fu Y, Wang M.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

On the Security and Efficiency of TLS 1.3 Handshake with Hybrid Key Exchange from CPA-Secure KEMs. [PDF]

Entropy (Basel)
Chen J, Peng W, Wang Y, Bian Y.
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source