eLife

Stratification of viral shedding patterns in saliva of COVID-19 patients

Distinct patterns of SARS-CoV-2 viral dynamics in saliva reveal heterogeneity that cannot be sufficiently explained by conventional clinical characteristics or microRNA profiles alone.

Self-learning AI generates NFL picks, score predictions for every 2026 divisional round matchup

SportsLine AI is projecting the Pats to win 15.9-13.5 and says the Texans covering, which returns +100, is a B-rated pick.

The AI divide Is growing for SMBs — Here’s how they can still win

But the surface area of AI is so broad, no one can keep up alone. We recommend forming close-knit relationships with trusted ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Sports Illustrated

Buffalo Bills' hopes for division title slipping away per playoff prediction machine

Following a 4-0 start to the season, there appeared to be no stopping the Buffalo Bills in their quest to earn another AFC East title and the No. 1 seed in the AFC. The Bills (4-2) were averaging over ...
Frontiers

Integrative modeling of malignant epithelial programs in EGFR-mutant LUAD via single-cell transcriptomics and multi-algorithm machine learning

1 Tianjin Chest Hospital, Tianjin University, Tianjin, China 2 Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China Background: Lung ...
SciELO

Structural damage detection utilizing probabilistic divergence of FFT coefficient ratios and DBSCAN cluster algorithm

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...
Healio

AI could boost detection of familial hypercholesterolemia

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...
C&EN

Cluster-Based Machine Learning Potentials to Describe Disordered Metal–Organic Frameworks up to the Mesoscale

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. To achieve our goal, we introduce the chemical environment of ...
Science Daily

Machine learning algorithm brings long-read sequencing to the clinic

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
Frontiers

Advances in machine learning for the detection and characterization of microplastics in the environment

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...
BizTech

What Are the Benefits of Unsupervised Machine Learning and Clustering?

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...