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#Oncology #AI: scientists have developed a deep learning model to predict lymph node metastasis and disease-free survival from cytology images in bladder cancer. The model could facilitate the diagnosis of bladder cancer - advanced.onlinelibrary.wiley…

#Oncology #AI: new deep learning models can link cancer driver alterations to genome-wide dependency landscapes, pathway programs, and drug-response structure in cancer cell lines. The models may help design more personalized cancer treatment strategies - journals.plos.org/ploscompbi…

#Neurology #AI: researchers have designed machine learning models to classify cognitive decline from clinical and demographic data. The models could facilitate the diagnosis of dementia and mild cognitive decline - nature.com/articles/s41598-0…

#Neurology #AI: scientists have devised deep learning models for early Alzheimer’s disease diagnosis from magnetic resonance images. The models could help develop novel treatments for Alzheimer’s disease - nature.com/articles/s41598-0…

#Oncology #AI: new deep learning model can predict induction chemotherapy response and overall survival in patients with locally advanced nasopharyngeal carcinoma. The model may assist clinicians in risk stratification and treatment planning - journals.plos.org/digitalhea…

#Oncology #AI: researchers have developed a machine learning model to predict where #glioblastoma is most likely to return after initial surgery. The model could inform future precision medicine–targeted therapies for patients with late-stage disease - science.org/doi/10.1126/scia…

#DrugDesign #AI: scientists have designed a deep learning framework to find stable forms of molecules for drug discovery from high-resolution small-molecule crystal structures. The framework could help to develop novel therapeutic drugs - pubs.rsc.org/sc/article/doi/…

#Proteomics #AI: new deep learning model can identify the mechanisms that govern protein conformational dynamics and structural responses to chemical or mechanical perturbations. The model could lead to applications for drug discovery and synthetic biology journals.plos.org/plosbiolog…

#DrugRepurposing #AI: researchers have devised machine and deep learning models to rapidly screen chemical libraries for identifying molecules with anti-bacterial properties. The models could help to find #antibiotics for treatment of pneumococcal diseases advanced.onlinelibrary.wiley…

#DrugDesign #AI: scientists have developed a deep learning model for drug repurposing from transcriptomic data. The model could help to accelerate drug discovery, minimize developmental costs, and mitigate risks associated with developing new drugs nature.com/articles/s41598-0…

#Genetics #AI: researchers have designed a machine learning model to identify the most important genetic variants that contribute to inherited traits, including those that lead to disease. The model may help to predict the pathogenicity of genetic variants nature.com/articles/s41586-0…

#Oncology #AI: scientists have devised interpretable machine learning models to predict lung cancer risk from lifestyle and clinical data. The models could facilitate the early detection of lung cancer - journals.plos.org/plosone/ar…

#Cardiology #AI: researchers developed a machine learning model to identify which patients with transthyretin amyloid cardiomyopathy face the greatest risk of death or heart failure hospitalization. The model may contribute to more individualized prognosis jamanetwork.com/journals/jam…

#Oncology #AI: scientists have designed explainable machine learning models to predict a range of critical postoperative outcomes in radical prostatectomy using routinely collected preoperative data. The models could help to enhance preoperative planning - nature.com/articles/s41598-0…

#Neurology #AI: new machine learning-based method can detect key molecular signatures of autism spectrum disorder from peripheral blood gene expression profiles. The method could help to identify novel therapeutic targets for autistic patients - journals.plos.org/plosone/ar…

#Oncology #AI: researchers have developed a deep learning model to detect lung cancer in computed tomography scans. The model could facilitate the early diagnosis of lung cancer and help design personalized treatments - nature.com/articles/s41598-0…

#DrugDesign #AI: scientists have devised a machine learning framework for the prediction of the antibacterial effects of compounds. The framework could contribute to the global effort to combat antimicrobial resistance - journals.plos.org/digitalhea…

#Neurology #AI: new explainable deep learning model can predict #concussion risk from kinematic sensor data, EEG signals, contextual information, and synchronized video. The model may help mitigate long-term neuro-psychological consequences of concussion - nature.com/articles/s41598-0…

#Oncology #AI: scientists have designed a hybrid deep learning model for classifying brain tumors from magnetic resonance imaging scans. The model may help to establish suitable treatment plans, forecast patient results, and enhance survival rates - nature.com/articles/s41598-0…

#Healthcare #AI: researchers have developed a machine learning model to identify patients’ long-term health risks from standard overnight sleep study data. The model could help to predict heart disease, cognitive decline and death - nature.com/articles/s41467-0…