Tag: Cancer
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Pisces Daily Horoscope: Introspection and Emotional Healing on June 15
Discover your personalized horoscope for June 15th, with insights on how each zodiac sign can make the most of their day. From reflection for Pisces to creative expression for Leo, embrace today's opportunities!
Is ChatGPT’s Cancer Information Reliable? New Research Finds 97% Accuracy – But There’s a Catch
ChatGPT, an artificial intelligence chatbot created by OpenAI, was recently studied to determine the accuracy of its cancer-related answers. The results, published on the National Cancer Institute Cancer Spectrum website, showed that ChatGPT provided 97% accurate response, showing promise. However, users should be mindful when relying on these automated answers. Skyler Johnson, a professor from the University of Utah, advises people to be educated and mindful of their ChatGPT answers to make the most of this AI chatbot.
Emmanuel Macron and Sam Altman Discuss Artificial Intelligence
French President Emmanuel Macron and Sam Altman, CEO of OpenAI, discussed Artificial Intelligence, its applications, regulations and future. The meeting was also attended by the Polish Prime Minister and the development of AI talent and regulation was discussed. OpenAI is a non-profit research lab based in San Francisco that develops AI to tackle global challenges like climate change and cancer-curing.
Detecting Brain Tumors with Machine Learning
At IIT Madras, researchers have developed a machine learning technique to gain valuable insights into cancer-causing tumours. The web server called aGBMDriver detects driver and passenger mutations in glioblastoma with an accuracy of 81.99%, surpassing current computational techniques. The findings will assist in prioritizing driver mutations and identifying potential pharmacological targets for treating glioblastoma.
Discovering Expression Patterns of Cooperative Drug Effects Using Explainable Machine Learning Models in Biomedical Engineering
This article presents how drug combinational synergies can be studied by utilizing ensembles of explainable machine-learning models. A case study of 133 combinations of 46 anticancer drugs and 285 patients with acute myeloid leukaemia highlights the successful uncovering of a haematopoietic-differentiation signature. This method can be used to optimize cancer treatments and discover additional drug combinations. Research by Professors Wojciech Barczys and Richard Neuberg.