#MetabolicDisorder #Genetics #AI: researchers have devised machine learning algorithms to classify DNA sequences related to #diabetes mellitus. The algorithms could help to early diagnose diabetes mellitus and develop effective interventions - journals.plos.org/plosone/articl…

#Immunology #AI: scientists designed a deep learning model for automated #sepsis diagnosis and mortality prediction in intensive care unit patients from skin hyperspectral imaging data. The model could help develop appropriate early treatments for sepsis - science.org/doi/full/10.11…

#Genetics #AI: researchers have developed a deep learning framework to predict human essential genes from multi-omics data. The framework could advance the understanding of basic life and human diseases, and boost the development of new drugs - nature.com/articles/s4159…

#Neurology #AI: a scientist devised a deep learning model to early predict autism spectrum disorders (ASDs) from social media text, dementia clinical records, and autism screening questionnaires. The model could help develop effective treatments for ASDs - nature.com/articles/s4159…

#InflammatoryDisease #AI: researchers designed a machine learning model to predict rheumatoid arthritis (RA) treatment response from plasma proteomic profiles. The model could be used for early disease monitoring and treatment optimization in RA nature.com/articles/s4146…

#Pulmonology #AI: new machine learning model can elucidate the role of lysophospholipids in the pathogenesis of chronic obstructive pulmonary disease (COPD) from chest computed tomography scans. The model could help reduce mortality rates in COPD patients nature.com/articles/s4159…

#Oncology #AI: scientists have developed a deep learning model to predict disease course in patients with multiple myeloma from computed tomography scans. The model could help to improve risk stratification and guide treatment decisions - nature.com/articles/s4159…

#SystemsBiology #AI: researchers have devised a machine learning model for inferring biological networks from omics data including transcriptomics, proteomics, and metabolomics. The model could help develop personalized treatment strategies for cancer - nature.com/articles/s4225…

#Neurology #Genetics #AI: scientists designed a machine learning model to uncover both known and novel genetic loci for Alzheimer’s disease (AD) from genetic and clinical data. The model may help identify variants associated with the risk of developing AD nature.com/articles/s4146…

#Oncology #AI: researchers developed quantum machine learning models to predict drug sensitivity in multiple myeloma from high-dimensional proteomic data. The models could help design individualized treatment plans for multiple myeloma patients - nature.com/articles/s4159…

#Neurology #AI: scientists have designed an explainable deep learning model to detect Alzheimer’s disease (AD) from retinal images. The model could facilitate the early diagnosis of AD and help develop treatments that slow its progression - nature.com/articles/s4159…

#MetabolicDisorder #AI: a researcher has developed deep learning frameworks to diagnose #Diabetes from clinical diagnosis records. The frameworks could help to prevent the severe complications of diabetes and help design early treatments - nature.com/articles/s4159…

#Psychiatry #AI: scientists have devised a deep learning model to diagnose mental illnesses such as schizophrenia and depression from motor activity data. The model could help to early detect mental health disorders - nature.com/articles/s4159…

#Neurology #AI: new machine learning model can predict mortality risk in Alzheimer’s disease (AD) patients from clinical variables, lifestyle, and physical activity measures. The model could help to enhance personalized care strategies for AD patients - nature.com/articles/s4159…

#Oncology #AI researchers have designed explainable machine learning models to detect breast cancer from patient observations. The models could help to predict breast cancer, reduce diagnostic errors, and improve clinical decision-making - nature.com/articles/s4159…

#DrugDevelopment #AI: new machine learning models can identify molecular dynamics properties influencing drug solubility from experimental solubility values of 211 drugs and related compounds. The models could help develop novel therapeutic drugs nature.com/articles/s4159…

#Oncology #AI: scientists have devised a deep learning framework for identifying breast tumor types in ultrasound images. The framework could facilitate the early diagnosis of breast cancer and help develop effective treatment strategies - nature.com/articles/s4159…

#Cardiology #AI: researchers have developed a deep learning model for heart disease prediction based on secured #IoT enabled health care monitoring system. The model could help to early detect heart disease and design personalized treatment plans - nature.com/articles/s4159…

#DrugDesign #AI: new quantum machine learning model can predict drug-target interactions from biochemical data. The model may help to identify therapeutic effects, unwanted side effects of drug compounds, and revolutionize computational drug discovery - nature.com/articles/s4159…

#VectorBorneDisease #AI: scientists have designed machine learning models for #malaria detection from synthetic data. The models could contribute significantly to global malaria control efforts and serve as a template for automated diagnostic development - nature.com/articles/s4159…