|
41
|
|
Fifteen challenges for generative AI applications to cell biology.
(linkinghub.elsevier.com)
|
Dupire L
…
Califano A
Cell
2026-08-17
|
#ai
#cell biology
#machine learning
#protein design
|
|
10
|
|
Towards unified AI-driven fracture mechanics: the extended deep energy method (XDEM).
(nature.com)
|
Wang Y
…
Liu Y
Nature Communications
2026-08-15
|
#fracture
#neural network
#mechanics
#machine learning
|
|
9
|
|
Lessons learned from a Kaggle challenge for particle picking in cryo-electron tomography.
(nature.com)
|
Peck A
…
Paraan M
Nature Methods
2026-08-14
|
#cryo-em
#particle picking
#machine learning
#structure determination
#algorithm
|
|
7
|
|
An Introduction to the Machine Learning Lifecycle for Clinical Microbiology.
(linkinghub.elsevier.com)
|
Lboukili I
…
Bruningk SC
Clinical Microbiology and Infection
2026-08-15
|
#machine learning
#microbiology
#diagnostics
#clinical
#data integration
|
|
6
|
|
Overcoming the performance ceiling of textured piezoelectric ceramics.
(science.org)
|
Zhang J
…
Li F
Science
2026-08-13
|
#piezoelectricity
#ceramics
#materials
#machine learning
|
|
6
|
|
Fine-Grained Structural Classification of Biosynthetic Gene Cluster-Encoded Products.
(academic.oup.com)
|
Porokhin V
…
Hassoun S
Bioinformatics
2026-08-17
|
#biosynthesis
#natural products
#machine learning
#classification
#genomics
|
|
6
|
|
Bridging Linguistic Reasoning and Biophysical Reality Toward Peptide Engineering via Instruction-Tuned Language Modelling.
(academic.oup.com)
|
Yang K
…
Li P
Bioinformatics
2026-08-17
|
#peptide
#language-models
#protein design
#sequence design
#machine learning
|
|
6
|
|
The challenge of decoding animal communication using AI.
(linkinghub.elsevier.com)
|
Taub M
…
Yovel Y
Current Biology
2026-08-17
|
#communication
#acoustics
#vocalization
#machine learning
#perception
|
|
6
|
|
Interpretable biophysical neural networks of transcriptional activation domains separate roles of protein abundance and coactivator binding.
(linkinghub.elsevier.com)
|
LeBlanc CJ
…
Staller MV
Cell Systems
2026-08-17
|
#neural network
#machine learning
#transcriptomics
#protein structure
#biophysics
|
|
4
|
|
Contrastive learning to fine-tune feature extraction models for the visual cortex.
(journals.plos.org)
|
Mulrooney A
…
Brockmeier AJ
PLOS Computational Biology
2026-08-17
|
#neuroimaging
#fmri
#visual cortex
#machine learning
#neural encoding
|
|
4
|
|
NMR metabolomics and glycomics for cancer detection in patients with non-specific symptoms: a prospective observational cohort study.
(linkinghub.elsevier.com)
|
Kacerova T
…
Anthony DC
EBioMedicine
2026-08-14
|
#metabolomics
#cancer
#biomarker
#glycomics
#machine learning
|
|
4
|
|
A large language model-driven multidisciplinary AI agent system predicts delirium in emergency critically ill patients.
(linkinghub.elsevier.com)
|
Shang W
…
Kong G
Cell Reports Medicine
2026-08-13
|
#delirium
#prediction
#machine learning
#critical-care
|
|
3
|
|
M2-PRNet: Multi-Scale and Multi-Modal Learning for Protein-RNA Binding Affinity Prediction.
(academic.oup.com)
|
Wang J
…
Li M
Bioinformatics
2026-08-14
|
#protein-rna
#binding
#machine learning
#structure prediction
#drug discovery
|
|
3
|
|
Hierarchical Discrete Representations for Coarse-to-Fine Protein Conformation Generation.
(academic.oup.com)
|
On S
…
Kim ES
Bioinformatics
2026-08-14
|
#protein
#conformation
#generative
#machine learning
|
|
2
|
|
Predicting specificity of TCR-pMHC interactions using machine-learning and biophysical models.
(linkinghub.elsevier.com)
|
Culka M
…
AlQuraishi M
Cell Systems
2026-08-13
|
#immunology
#machine learning
#protein structure
#prediction
#immunotherapy
|