The Royal Vox Post .#Science #Tech #GreenTech #FinTech #CryptoEconomy trends

#Neurology #AI: scientists have designed a deep learning framework to predict Alzheimer’s disease (AD) from an augmented magnetic resonance image dataset. The framework could facilitate the early diagnosis of AD and help discriminate between stages of AD -

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#DrugDelivery #Vaccines #AI: researchers developed a deep learning model to design RNA-based lipid nanoparticles from the lipid–RNA nanoparticle composition and efficacy dataset. The model could speed the development of RNA vaccines and other RNA therapies

#Oncology #AI: new machine learning model can predict extrahepatic metastasis in hepatocellular carcinoma following hepatectomy from computed tomography-based radiomics. The model could be used for risk assessment and help improve long-term survival

#Neurology #AI: researchers have combined game theory with machine learning to predict ischemic stroke from a medical dataset. The approach could facilitate the management of ischemic stroke and help develop timely interventions -

#Neurology #AI: scientists have designed machine learning models to predict mild cognitive impairment (MCI) in older adults from clinical data. The models could help develop personalized intervention strategies to treat MCI and reduce dementia risk -

#DrugDesign #AI: researchers developed a deep learning model to design small, drug-like molecules that can stick to and break down harmful proteins in the body. The model could help design new treatments for cancers, brain disorders, and viral infections

#DrugDiscovery #AI: scientists have devised machine learning and deep learning algorithms to predict the biological activity of chemical molecules from highly imbalanced bioassay datasets. The algorithms could help design novel therapeutic drugs -

#Cardiology #AI: new machine learning models can predict in-hospital cardiac mortality in atrial fibrillation (AF) patients from electronic medical record data. The models may help improve early risk stratification and individualized care in AF patients -

#Neurology #AI: scientists developed a machine learning model to diagnose primary progressive #aphasia from electroencephalogram signals. The model may facilitate identification of appropriate pharmacological interventions for primary progressive aphasia -

#DrugDevelopment #Microbiology #AI: researchers have devised a deep learning model to systematically explore the archaeome and uncover promising candidates for combating antimicrobial resistance. The model could help design next-generation #antibiotics -

#Pain #AI: scientists have designed a deep learning framework for automatic pain recognition from electrodermal activity and electrocardiogram signals. The framework could be used for developing effective management strategies for pain -

#Autism #AI: researchers developed a machine learning-based method to diagnose autism spectrum disorder from clinical questionnaires. The method may enable initiation of targeted interventions during the critical early years of high brain neuroplasticity

#EndocrineDisease #AI: scientists have devised machine learning models for predicting the risk of #diabetes in patients with coronary heart disease from clinical data. The models could provide a solid foundation for early intervention and treatment -

#Genomics #Biotechnology #CRISPR #AI: researchers have designed a deep learning model to precisely edit DNA for experimental and therapeutic purposes. The model could facilitate the development of next generation gene therapies -

#Oncology #AI: scientists have combined radiomics with deep learning to predict the invasiveness of lung adenocarcinoma from chest computed tomography images. The approach could help to optimize treatment strategies for patients with pulmonary nodules -

#InfectiousDisease #AI: researchers have developed a machine learning model to diagnose #bacteremia from cell population data. The model could facilitate the early detection of bacteremia in adult patients who underwent blood culture -

#RespiratoryDisease: scientists designed a deep learning framework to facilitate the precise detection and classification of human metapneumovirus infections. The framework could be suitable for deployment in resource-constrained healthcare environments

#Healthcare #AI: researchers have devised a machine learning model to predict changes in patient acuitity and the need for life-sustaining therapies in real-time. The model could support earlier, more informed intensive care unit interventions -

#Oncology #AI: scientists have designed machine learning models to predict prognosis in adolescents and young adults (AYAs) #glioma. The models could help develop precisely individualized clinical management for AYAs glioma -

#Oncology #AI: researchers have developed deep learning models to classify brain tumors from brain magnetic resonance images. The models could pave the way for the development of novel treatments for brain cancer -