Artificial Intelligence in Healthcare - Amazing possibilities of using artificial intelligence in pathology
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  Artificial Intelligence in Healthcare  
  The latest artificial intelligence in healthcare news from News Medical  
 Microfluidic chip and AI-based microscope help measure hemoglobin levelsMicrofluidic chip and AI-based microscope help measure hemoglobin levels
 
Blood count is a test that is often performed to determine the health of patients and generally involves an estimation of the concentration of hemoglobin.
 
   Amazing possibilities of using artificial intelligence in pathologyAmazing possibilities of using artificial intelligence in pathology
 
Artificial intelligence can already scan images of the eye to assess patients for diabetic retinopathy, a leading cause of vision loss, and to find evidence of strokes on brain CT scans.
 
   New AI-based method produces new diversity of AAV capsids for optimized gene therapyNew AI-based method produces new diversity of AAV capsids for optimized gene therapy
 
Dyno Therapeutics has demonstrated the use of AI to created an unparalleled range of adeno-associated virus capsids that can evade the immune system.
 
 Adopting AI to Boost Drug Discovery
 
Adopting AI to Boost Drug DiscoveryThe use of artificial intelligence (AI) and machine learning methods has increased in various sectors, particularly within the drug discovery sector.
 
 
 Advanced explainable AI to solve regulatory instructions encoded in DNA
 
Advanced explainable AI to solve regulatory instructions encoded in DNAResearchers at the Stowers Institute for Medical Research, in collaboration with colleagues at Stanford University and Technical University of Munich have developed advanced explainable artificial intelligence (AI) in a technical tour de force to decipher regulatory instructions encoded in DNA.
 
 
 New technique based on AI can automate and streamline seed quality analysis
 
New technique based on AI can automate and streamline seed quality analysisIn Brazil, researchers affiliated with the Center for Nuclear Energy in Agriculture (CENA) and the Luiz de Queiroz College of Agriculture (ESALQ), both part of the University of São Paulo (USP), have developed a methodology based on artificial intelligence to automate and streamline seed quality analysis, a process required by law and currently done manually by analysts accredited with the Ministry of Agriculture.