AI tool decodes brain tumor DNA swiftly during surgery. #BrainTumorDNA

Hashtags: #chatGPT #BrainTumorDNA #SurgicalAI Summery: Scientists at Harvard Medical School have developed an artificial intelligence (AI) tool that can quickly decode the DNA of brain tumours during surgery, providing critical information that can inform decisions about treatment. The tool, called CHARM (Cryosection Histopathology Assessment and Review Machine), can determine a tumour's molecular…

https://webappia.com/ai-tool-decodes-brain-tumor-dna-swiftly-during-surgery-braintumordna/

AI tool decodes brain tumor DNA swiftly during surgery. #BrainTumorDNA

Scientists at Harvard Medical School have developed an AI tool that can quickly decode the DNA of a brain tumour to determine its molecular identity during surgery. Currently, this process can take several days or weeks. Knowing the molecular type of a tumour allows surgeons to make decisions about how much brain tissue to remove and whether to place tumour-killing drugs directly into the brain. The tool, called CHARM, has been trained on 2,334 brain tumour samples and has achieved 93% accuracy in distinguishing tumours with specific molecular mutations.

Webappia

AI Tool Decodes Brain Tumor DNA Swiftly in Surgery #BrainTumorDNA

Hashtags: #chatGPT #BrainTumorDNA #SurgicalAI Summery: Scientists from Harvard Medical School have developed an artificial intelligence (AI) tool that can rapidly decode the DNA of brain tumors during surgery. This tool, called CHARM (Cryosection Histopathology Assessment and Review Machine), can determine the molecular identity of a tumor, which is critical information for neurosurgeons when making…

https://webappia.com/ai-tool-decodes-brain-tumor-dna-swiftly-in-surgery-braintumordna/

AI Tool Decodes Brain Tumor DNA Swiftly in Surgery #BrainTumorDNA

Scientists have developed an AI tool called CHARM that can rapidly decode the DNA of a brain tumor to determine its molecular identity during surgery. This information is critical for making decisions about how much brain tissue to remove and whether to administer tumor-killing drugs. The current approach can take days or weeks to obtain this information. The tool was trained and tested on glioma samples and demonstrated 93% accuracy in distinguishing tumors with specific molecular mutations. The researchers believe the tool could be retrained to identify other types of brain cancer.

Webappia