Results 151 to 160 of about 424,704 (329)

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

Explainable Artificial Intelligence in Healthcare: Current Landscape, Challenges, and Future Directions. [PDF]

Health Sci Rep
Shiddik MAB.
europepmc   +1 more source

Dual PI3K/AKT and CDK4/6 inhibition reveals selective sensitivity in an SHH medulloblastoma stem cell model

Molecular Oncology, EarlyView.
Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute, Madeleine Birgersson, Paolo Ceriani, Margareta Wilhelm, Ourania N Kostopoulou   +4 more
wiley   +1 more source

Evaluating sentiment analysis models in healthcare: addressing bias and enhancing interpretability. [PDF]

Front Public Health
Wang C, Miao Z, Zeng H.
europepmc   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening. [PDF]

Sci Rep
Hernández J, Alayón S, Sigut JF, Díaz-Alemán T.   +3 more
europepmc   +1 more source

Students' Ability To Interpret Pattern Imagessocial Cultural Spatial Of The Google Maps Application

, 2023
Ririn Posma Rina, Risma Sinaga, Sugeng Widodo   +2 more
openalex   +2 more sources

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source

Developing an Interpretable Machine Learning Model for Early Prediction of Cardiovascular Involvement in Systemic Lupus Erythematosus

Journal of Inflammation Research
Zixian Deng,1 Huadong Liu,1 Feng Chen,2 Qiyun Liu,1 Xiaoyu Wang,3 Caiping Wang,1 Chuangye Lyu,1 Jianghua Li,1 Tangzhiming Li1,4 1Department of Cardiology, Shenzhen People’s Hospital (The First Affiliated Hospital, Southern University of Science and ...
Deng Z, Liu H, Chen F, Liu Q, Wang X, Wang C, Lyu C, Li J, Li T   +8 more
doaj  

Interpretation drift in explainable AI under label noise. [PDF]

Sci Rep
Raikovskaia A, Rakhimzhanov N, Pianykh OS.   +2 more
europepmc   +1 more source