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12
|
|
Modeling the global potential of smart farming innovations.
(pnas.org)
|
Roman S
…
Wuepper D
PNAS
2026-10-19
|
#agriculture
#sustainability
#geospatial
#machine learning
#innovation
|
|
9
|
|
Atomic functional site scaffolding in biopolymers with RFdiffusion3.
(science.org)
|
Butcher J
…
Baker D
Science
2026-10-15
|
#protein structure
#enzyme design
#machine learning
#computational biology
#rna design
|
|
9
|
|
DNA-BFN: Bayesian Flow Networks for Generative Modeling of Regulatory DNA Sequences.
(academic.oup.com)
|
Yu H
…
Wang X
Bioinformatics
2026-10-19
|
#generative modeling
#regulatory-sequences
#machine learning
#diffusion
#dna-design
|
|
7
|
|
MassNet: billion-scale AI-ready mass spectral corpus empowering scalable deep learning in proteomics.
(nature.com)
|
A J
…
Guo T
Nature Methods
2026-10-14
|
#proteomics
#mass spectrometry
#deep learning
#machine learning
#peptide-sequencing
|
|
7
|
|
BiotaPredictor: A machine learning framework for predicting drug depletion by the human gut microbiota.
(tandfonline.com)
|
Naranjani B
…
Basit AW
Gut Microbes
2026-10-15
|
#microbiome
#machine learning
#pharmacokinetics
#drug metabolism
|
|
7
|
|
DRAMP 5.0: an update integrating sequence and structure in a novel FASTS format for AI-driven design of antimicrobial peptides.
(academic.oup.com)
|
Ma T
…
Lao X
Nucleic Acids Research
2026-10-15
|
#antimicrobial peptides
#machine learning
#peptide design
#database
#drug resistance
|
|
6
|
|
Artificial intelligence-enabled clinical phenotyping of human brown fat.
(nature.com)
|
Gomez-Banoy N
…
Cohen P
Nature
2026-10-14
|
#phenotyping
#adipose tissue
#cardiometabolic
#machine learning
#imaging
|
|
6
|
|
Advancing subseasonal forecasting with machine learning.
(nature.com)
|
Guan H
…
Mackey L
Nature
2026-10-14
|
#machine learning
#forecasting
#weather
#bias correction
|
|
6
|
|
AI empowers scalable and programmable RNA design.
(linkinghub.elsevier.com)
|
Lin Z
…
Li Y
Molecular Cell
2026-10-15
|
#rna
#synthetic biology
#machine learning
#therapeutics
#design
|
|
6
|
|
Emerging frontiers for AI in single-cell genomics.
(linkinghub.elsevier.com)
|
Mitra S
…
Leslie CS
Molecular Cell
2026-10-15
|
#transcriptomics
#single-cell
#machine learning
#epigenomics
|
|
6
|
|
Beyond prediction: The evolving role of artificial intelligence in genome editing.
(linkinghub.elsevier.com)
|
Shin S
…
Bae S
Molecular Cell
2026-10-15
|
#crispr
#ai
#genome editing
#machine learning
#protein design
|
|
6
|
|
The promise and perils of artificial intelligence in molecular biology.
(linkinghub.elsevier.com)
|
Zhong E
…
Zaugg JB
Molecular Cell
2026-10-15
|
#ai
#computational biology
#machine learning
#algorithms
|
|
6
|
|
Learning how single cells respond to perturbations.
(linkinghub.elsevier.com)
|
Aksu ED
…
Berger B
Molecular Cell
2026-10-15
|
#transcriptomics
#single-cell
#perturbation
#machine learning
|
|
6
|
|
Structural compatibility is not enough: Current challenges in protein-protein interaction prediction.
(linkinghub.elsevier.com)
|
Elofsson A
Molecular Cell
2026-10-15
|
#protein-protein interaction
#structure prediction
#machine learning
#dynamics
|
|
5
|
|
Metabolomic aging and mortality clocks based on ensemble learning identify systemic aging risk across the human life span in 18,476 individuals.
(science.org)
|
Cao L
…
Pu J
Science Translational Medicine
2026-10-14
|
#metabolomics
#aging
#biomarker
#mortality
#machine learning
|
|
5
|
|
Innovative roadmaps for sustainable antimicrobial resistance interventions.
(science.org)
|
Gasperini G
…
De Gregorio E
Science Translational Medicine
2026-10-14
|
#amr
#therapeutics
#diagnostics
#machine learning
#surveillance
|
|
5
|
|
From code to cure: Harnessing AI for antibiotic discovery and design.
(science.org)
|
Krishnan A
…
de la Fuente-Nunez C
Science Translational Medicine
2026-10-14
|
#antibiotic
#drug discovery
#amr
#machine learning
#peptide
|
|
5
|
|
A neural operator framework for data-driven discovery of stability and receptivity in physical systems.
(pnas.org)
|
Wang C
…
Thuerey N
PNAS
2026-10-16
|
#stability analysis
#dynamical systems
#machine learning
#neural network
|
|
4
|
|
From scrap to prime: Designing high-performance alloys from dirty feedstocks with machine learning.
(science.org)
|
Yang C
…
Wei Y
Science Advances
2026-10-14
|
#alloy
#machine learning
#recycling
#materials
|
|
4
|
|
NeoBridge: Biophysics-informed neoantigen prioritization and clonal architecture profiling in pancreatic cancer.
(linkinghub.elsevier.com)
|
Mediavilla AL
…
Sanchez-Arevalo Lobo VJ
Cell Genomics
2026-10-15
|
#neoantigens
#immunotherapy
#pancreatic cancer
#machine learning
|