Deep learning

Method29 papers

  • Humans8
  • Cells1
  • In silico19

Latest

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Science BulletinHumans

Wearable movement data links to hundreds of human diseases

In 70,473 adults followed for up to 10 years, 210 wearable activity phenotypes were linked to 406 diseases, with step intensity and circadian rhythm…In 70,473 adults followed for up to 10 years, 210 wearable activity phenotypes were linked to 406 diseases, with step intensity and circadian rhythm showing prominent ties.

arXivIn silicoPreprint

Speech model flags cognitive decline and generates explanations

Tested across six dataset and task conditions, the bilingual framework outperformed three baselines while directly generating natural-language…Tested across six dataset and task conditions, the bilingual framework outperformed three baselines while directly generating natural-language explanations for clinicians.

NPJ Digital MedicineHumans

Brain signatures of BMI detect systemic disease better than BMI

Across six human cohorts and a 2.3-year follow-up, neural networks identified brain structural patterns tied to cardiometabolic and pulmonary…Across six human cohorts and a 2.3-year follow-up, neural networks identified brain structural patterns tied to cardiometabolic and pulmonary conditions.

Advanced ScienceIn silico

Facial foundation model estimates clinical biomarkers

Pretrained on 10 million images, the model assessed 62 biomarkers across eight physiological systems, reaching a median Pearson's r of 0.172 across…Pretrained on 10 million images, the model assessed 62 biomarkers across eight physiological systems, reaching a median Pearson's r of 0.172 across four cohorts.

JACC AdvancesIn silico

Deep learning matches experts in scoring aortic valve calcium

Algorithm scores correlated strongly with expert assessments at r = 0.99, identifying moderate-to-severe aortic stenosis with 0.92 sensitivity and…Algorithm scores correlated strongly with expert assessments at r = 0.99, identifying moderate-to-severe aortic stenosis with 0.92 sensitivity and 0.98 specificity.

Research SquareIn silicoPreprint

Simple anatomical features match complex AI models on brain MRIs

Across about 80,000 human participants, simple anatomical measurements performed as well as complex AI models while improved pretraining boosted…Across about 80,000 human participants, simple anatomical measurements performed as well as complex AI models while improved pretraining boosted biological age estimation.

medRxivIn silicoPreprint

Automated tool counts teeth from routine brain MRI

The model counted teeth with a mean absolute error of 1.96 and matched manual associations with cognitive scores in a 233-person cohort.The model counted teeth with a mean absolute error of 1.96 and matched manual associations with cognitive scores in a 233-person cohort.

bioRxivIn silicoPreprint

Model infers spatial neighborhoods in dissociated single cells

The computational tool predicted cellular proximity across brain regions and identified age-associated neighborhood remodeling in an 8-month Alzheimer…The computational tool predicted cellular proximity across brain regions and identified age-associated neighborhood remodeling in an 8-month Alzheimer dataset.

bioRxivIn silicoPreprint

DECIPHER decodes cell types and predicts age from bulk omics

Tested across multiple molecular platforms, the framework separates technical variation from biological signal to infer cell proportions and…Tested across multiple molecular platforms, the framework separates technical variation from biological signal to infer cell proportions and chronological age across independent human cohorts.

American Journal of Respiratory and Critical Care MedicineHumans

AI lung scan score links to fibrosis progression and mortality

A baseline deep learning score above 0.5 was associated with a 13.41% relative annual fibrosis increase and higher mortality in two human cohorts.A baseline deep learning score above 0.5 was associated with a 13.41% relative annual fibrosis increase and higher mortality in two human cohorts.