Results 71 to 80 of about 466,306 (265)

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Use of Lymphoscintigraphy Images in Nuclear Medicine to Obtain the Distribution of 99mTc Photons in Computational Exposure Models

Brazilian Journal of Radiation Sciences
This study aims to create a source catalog for Lower Limb Lymphoscintigraphy (LLL) examinations in Nuclear Medicine, using real lymphoscintigraphy images from adult male patients.
Jorge Alexandre Gomes Lins, José Wilson Vieira, Fernando Roberto de Andrade Lima, Whoody Alem Wanderley Araripe Farias, Victor Hugo Farias Ferreira da Silva, João Mário da Silva, Ferdinand de Jesus Lopes Filho, Jefferson Melo Gonçalves Pena, Larissa Cristina Silva dos Santos   +8 more
doaj   +1 more source

The variability of measuring sperm concentration and motility as determined by computer assisted image analysis and visual estimation

Andrologia, 2009
Summary. Systems of computer‐assisted image processing (CAIP) offer good reproducibility and low intra‐assay variability between replicate analyses of the same sample.
Walter Krause, G. Schönhärl, A. Brake
semanticscholar   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

Molecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song, Ting Liu, Qishan Hao, Qiuyun Fang, Xiaoyuan Gong, Yan Li, Zheng Tian, Hui Wei, Min Wang, Jianxiang Wang, Tao Cheng, Yingchang Mi   +11 more
wiley   +1 more source

Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects

Philosophical Transactions of the Royal Society of London. Biological Sciences
Automated sensors have potential to standardize and expand the monitoring of insects across the globe. As one of the most scalable and fastest developing sensor technologies, we describe a framework for automated, image-based monitoring of nocturnal ...
D. Roy, J. Alison, T. August, M. Bélisle, K. Bjerge, J. J. Bowden, M. Bunsen, F. Cunha, Q. Geissmann, K. Goldmann, A. Gomez-Segura, A. Jain, C. Huijbers, M. Larrivée, J. L. Lawson, H. M. Mann, M. Mazerolle, K. P. McFarland, L. Pasi, S. Peters, N. Pinoy, D. Rolnick, G. Skinner, O. T. Strickson, A. Svenning, S. Teagle, T. Høye   +26 more
semanticscholar   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

Molecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik, Shi Pan, Eloise Withnell, Hou Wang Lam, Maria Secrier   +4 more
wiley   +1 more source

From image-guided surgery to surgeOmics: Facing the era of intelligent automation and robotics

International Journal of Gastrointestinal Intervention, 2019
Digital images do not represent anatomy, they are just a reliable translation from a full-colored and three-dimensional physical world to a grayscale and two dimensions image domain.
Juan Manuel Verde, Mariano E. Giménez
doaj   +1 more source

Removing defocused objects from single focal plane scans of cytological slides

Journal of Pathology Informatics, 2016
Background: Virtual microscopy and automated processing of cytological slides are more challenging compared to histological slides. Since cytological slides exhibit a three-dimensional surface and the required microscope objectives with high resolution ...
David Friedrich, Alfred Böcking, Dietrich Meyer-Ebrecht, Dorit Merhof   +3 more
doaj   +1 more source

Computer-Assisted Human-Computer Interaction in Visual Communication

Computer-Aided Design and Applications, 2020
. With the help of science and technology, digital media expressions continue to innovate, which has entered a new era and driven the development of computer-computer interaction technology.
Ying Zhang
semanticscholar   +1 more source