Results 51 to 60 of about 7,778,769 (283)

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

Entropy, 2019
Efficient approximation lies at the heart of large-scale machine learning problems. In this paper, we propose a novel, robust maximum entropy algorithm, which is capable of dealing with hundreds of moments and allows for computationally efficient ...
Diego Granziol, Binxin Ru, Stefan Zohren, Xiaowen Dong, Michael Osborne, Stephen Roberts   +5 more
doaj   +1 more source

Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection

Scientific Reports, 2023
In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance images (mmMRI) is presented.
Florian Raab, Wilhelm Malloni, Simon Wein, Mark W. Greenlee, Elmar W. Lang   +4 more
doaj   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

Molecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz, Anna L. Bartkowiak, Michael Rose, Nora Kolks, Patrick Petzsch, Vandana Solanki, Anne Stoffel, Bianca Faßbender, Leandra Lepping, Julka Volkamer, Karl Köhrer, Marc Seifert, Tokameh Mahmoudi, Tahlita C. M. Zuiverloon, Günter Niegisch, Michèle J. Hoffmann   +15 more
wiley   +1 more source

A Euclidean transformer for fast and stable machine learned force fields

Nature Communications
Recent years have seen vast progress in the development of machine learned force fields (MLFFs) based on ab-initio reference calculations. Despite achieving low test errors, the reliability of MLFFs in molecular dynamics (MD) simulations is facing ...
J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller, Stefan Chmiela   +3 more
doaj   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

The Role of Machine Learning in Cybersecurity [PDF]

, 2022
Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de, Wissam Mallouli, Luis Brdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco   +6 more
openalex   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Spatially resolved rainfall streamflow modeling in central Europe [PDF]

Hydrology and Earth System Sciences
Climate change increases the risk of disastrous floods and makes intelligent freshwater management an ever more important issue for society. A central prerequisite is the ability to accurately predict the water level in rivers from a range of predictors,
M. A. Vischer, N. Otero, J. Ma
doaj   +1 more source

Mitochondria‐associated membranes (MAMs): molecular organization, cellular functions, and their role in health and disease

FEBS Open Bio, EarlyView.
Mitochondria‐associated membranes (MAMs) are contact sites between the endoplasmic reticulum and mitochondria that regulate calcium signaling, lipid metabolism, autophagy, and stress responses. This review outlines their molecular organization, roles in cellular homeostasis, and how dysfunction drives neurodegeneration, metabolic disease, cancer, and ...
Viet Bui, Maryline Santerre, Natalia Shcherbik, Bassel E Sawaya   +3 more
wiley   +1 more source