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How AI-Powered Cell Culture Could Revolutionize Drug Discovery
Shantanu Dhamija discusses how AI can help scientists to fully embrace organoids in drug discovery.
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ChatGPT Can’t Replace Your Doctor Quite Yet
A research group led by Tokyo Medical and Dental University (TMDU) finds that when common orthopedic symptoms are given, ChatGPT’s diagnosis and recommendations are inconsistent
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New AI Tool Can Help Researchers Understand Quantum Materials
A new AI tool could help accelerate the investigation of novel materials, automating some of the more labor-intensive experimental data analysis within materials research.
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AI Speeds Up Diagnosis of Brain Tumor Type
AI technology has sped up the identification of brain tumor types, providing results within one and a half hours and allowing neurosurgeons to adapt their surgical strategies.
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AI Tool Helps Forecast Viral Outbreaks
The COVID-19 pandemic seemed like a never-ending parade of SARS-CoV-2 variants, leaving the world bracing for what would come next. But what if there were a way to make predictions about new viral variants before they actually emerge?
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Large Microbial Study Has Doubled the Number of Known Protein Families
A new study highlights the vast array of functional diversity of microbes through a novel approach to better understand microbial communities by looking at protein function within them.
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Law of "Infodynamics" Supports Theory That We Are Living in a Simulation
Are we living in a simulation? A new law of physics could support the theory that we are simply characters in an advanced virtual world.
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AI Language Models Could Assist Schizophrenia Diagnostics
Scientists at the UCL Institute for Neurology have developed new tools, based on AI language models, that can characterise subtle signatures in the speech of patients diagnosed with schizophrenia.
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How Did Snake Venom Evolve?
Researchers have investigated how the toxin emerged between 50 and 120 million years ago through the modification of a gene that also occurs in mammals and other reptiles.
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Neural Network for Genomics Explains How It Achieves Accurate Predictions
A new neural network that can explain how it reaches its predictions has been developed to examine the intricacies of RNA splicing.
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