US EditionProfiling Platform-Independent Tumor Classification Using Artificial Intelligence
7 Articles
7 Articles
Profiling platform-independent tumor classification using artificial intelligence
Brain tumors are challenging to diagnose, with DNA-methylation profiling being key to their classification, but with AI-based classifiers requiring constant adjusting to newer technologies. A publicly available AI tool is now shown to classify tumors with high accuracy, independently of profiling platform, epigenome coverage or sequencing depth.
Expert reveals how blocked sensory pathways can be early clues to brain tumours
Diagnosing brain tumours early is often challenging, as most patients present with nonspecific symptoms. Also, there are no screening tests, and brain imaging is not routinely recommended as a screening tool, as the incidence of brain tumours in the general population is relatively low. However, it is important to detect brain tumours early so as to initiate prompt and appropriate treatment, which would help minimise the morbidity and mortality …
A new A.I. model identifies exactly over 170 cancer types. An analysis is made of cefalorahidian liquid, without risk operations. The crossNN model already works at Charité Berlin. A new old step in oncology comes from Germany. Researchers have created an A.I. model that detects the type of tumor in cancer cases quickly. Everything is obtained without intervention and with an impressive precision. What is the crossNN model and what does it do di…
A hope for the cancer community! After an exhaustive and surprising research, a group of scientists from the Charité-Universitätsmedizin Berlin (Germany) has created a new model based on artificial intelligence, which is responsible for recognizing the more than 170 types of cancerous tumors. The results were published in the journal Nature Cancer, which meets the objective of significantly improving the diagnosis of cancer in future patients, w…
New AI model detects more than 170 types of cancer with 97.8% accuracy
In the high-stakes world of cancer diagnosis, getting the right answer quickly can mean everything. When a brain tumor shows up in an MRI image near delicate structures, even a simple biopsy might put a patient at serious risk. But what if doctors could look deep into a tumor’s genetic fingerprint without ever having to touch it? That’s exactly what a new artificial intelligence model promises. Called crossNN, it’s been developed to revolutioniz…
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