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0
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Discovering heuristics in a complex SAT solver with large language models.
(nature.com)
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Sun Y
…
Cai S
Nature Communications
2026-07-17
|
#optimization
#heuristics
#machine learning
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0
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Machine learning-driven prediction of heavy metal pollution for aquatic health surveillance and disease control.
(linkinghub.elsevier.com)
|
Al Mamun Hridoy MA
…
Pastorino P
iScience
2026-07-17
|
#machine learning
#heavy metals
#water quality
#environmental monitoring
#predictive modeling
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0
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Flow matching for reaction pathway generation.
(nature.com)
|
Tuo P
…
Li J
Nature Communications
2026-07-17
|
#computational chemistry
#reaction-mechanisms
#machine learning
#generative_models
#optimization
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0
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Investigating LST evolution and heatwave patterns using machine learning in the Beijing-Tianjin-Hebei Urban agglomeration.
(linkinghub.elsevier.com)
|
Liu C
…
Zhang M
iScience
2026-07-17
|
#climate change
#urbanization
#heatwaves
#machine learning
#remote_sensing
|
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0
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Machine learning innovations for reliable gurney energy estimation in energetic materials.
(linkinghub.elsevier.com)
|
Deng M
…
Baghban A
iScience
2026-07-17
|
#machine learning
#energetic-materials
#prediction
#computational chemistry
|
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0
|
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Momentum Contrast-Enhanced Multimodal Representation Learning for Drug Synergy Prediction.
(academic.oup.com)
|
Gu Y
…
Yan C
Bioinformatics
2026-07-17
|
#drug synergy
#cancer
#machine learning
#multi-omics
#chemotherapy
|
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0
|
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ComicGTN infers disease-associated rare cell states from single-cell multiomic data using DNA sequence-augmented graph transformer networks.
(genome.cshlp.org)
|
Yang B
…
Jin S
Genome Research
2026-07-17
|
#single-cell
#multi-omics
#transcriptomics
#epigenomics
#machine learning
|
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0
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Identification of genomic features that uniquely impact estrogen receptor alpha binding and its effects on gene expression in endometrial cancer.
(genome.cshlp.org)
|
Richey A
…
Gertz J
Genome Research
2026-07-17
|
#transcriptomics
#endometrial-cancer
#chromatin
#estrogen receptor
#machine learning
|
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0
|
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Computational identification of antigen-specific T cell groups through generative epitope modeling.
(linkinghub.elsevier.com)
|
Ma M
…
Ding J
iScience
2026-07-17
|
#epitope
#immunology
#tcr
#transcriptomics
#machine learning
|
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0
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Using interpretable machine learning to analyze the trajectory changes of serum albumin to predict the mortality rate of sepsis: a cohort study based on MIMIC-IV.
(link.springer.com)
|
He A
…
Zheng R
BMC Infectious Diseases
2026-07-17
|
#sepsis
#machine learning
#prognosis
#mortality
#biomarker
|
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0
|
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Functional analysis of natural variation in the RNA-binding protein CsrA across the bacterial domain predicts regulatory activity.
(academic.oup.com)
|
Winkelman JT
…
Mukherjee S
Nucleic Acids Research
2026-07-17
|
#rna binding
#post-transcriptional regulation
#high-throughput screening
#bacterial-evolution
#machine learning
|