The Digital Laboratory - Deep learning techniques transform protein structure prediction
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  The latest lab automation and artificial intelligence news from AZoNetwork  
 

Can you truly automate research?Can you truly automate research?

How can you unlock the potential of automated research? Cerba Research explores cutting-edge solutions and best practices in lab automation, shedding light on how technology is revolutionizing scientific discovery. Dive in to learn how automation can streamline workflows, boost productivity, and accelerate breakthroughs in the lab.

Automate your lab
 
   Deep learning techniques transform protein structure predictionDeep learning techniques transform protein structure prediction
 
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction.
 
   Novel framework enhances MRI segmentation using unlabeled dataNovel framework enhances MRI segmentation using unlabeled data
 
Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled data.
 
 How Smart Manufacturing is Reshaping Pharmaceutical Production
 
How Smart Manufacturing is Reshaping Pharmaceutical ProductionSmart manufacturing is transforming pharmaceutical production, enhancing efficiency, quality control, and regulatory compliance through advanced technologies.
 
 
 The AI-Powered Lab Assistant with Scientific Awareness
 
The AI-Powered Lab Assistant with Scientific AwarenessEnhancing healthcare research, Sapio Sciences' solutions unify lab data management, leveraging AI to improve efficiency and accelerate drug development cycles.
 
 
 ClinGen publishes data on over 2700 genes relevant to genetic diseases
 
ClinGen publishes data on over 2700 genes relevant to genetic diseasesThe Clinical Genome Resource (ClinGen), a National Institutes of Health (NIH)-funded resource that works to define the clinical relevance of genes and variants, has published data on more than 2,700 genes curated for relevance to genetic diseases, including cancer, cardiovascular disease and neurodevelopmental disorders.
 
 
 AI and Bioinformatics Reveal Genes Linked to Rheumatoid Arthritis and Osteoporosis
 
AI and Bioinformatics Reveal Genes Linked to Rheumatoid Arthritis and OsteoporosisRheumatoid arthritis is a common disease affecting an estimated 17 million people worldwide. The disease is caused by immune cells attacking the joints and can result in pain, swelling, and damage to the cartilage and bone.
 
 
 The Role of Biomedical Engineering in Robotics
 
The Role of Biomedical Engineering in RoboticsThe fusion of biomedical engineering and robotics is transforming healthcare, offering tailored solutions that improve efficiency, safety, and patient outcomes.
 
 
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