A new study published by researchers from the Tokyo University of Science (TUS) unveiled a new machine learning-aided, non-invasive imaging framework for rapid liver lipid visualization, which could help diagnose and treat steatotic liver diseases (SLD).
In a post-pandemic world, South Korean molecular diagnostics firm Seegene Inc. is looking to ignite a new paradigm in the diagnostics business. Seoul-based Seegene is rolling out a new strategy of open innovation under its newfound initiative coined the “SG Onesystem,” which pledges to not only accelerate global partnerships for novel diagnostics but also “free the world of all disease.”
In what represents the first patenting from Immersive Reality Group LLC, the company’s co-founders describe their Intellighealth system for detecting the early onset of respiratory diseases using artificial intelligence and wearable remote health monitoring technologies.
Isozymes that are overexpressed in cancer and key in some metabolic processes are potential therapeutic targets. Previous studies found that phosphoenolpyruvate carboxykinase 2 (PCK2) is required by cancer cells for maintaining high metabolic activity and proliferation in some cancer types, but no small-molecule PCK2 inhibitors currently exist.
Patent applications from Bellevue, Wash.-based Aiberry Inc. describe further aspects of its artificial intelligence (AI)-powered mental health screening platform that is designed to improve efficiency and save time for healthcare providers.
Artificial Intelligence (AI) driven tools have the ability to design new drugs, with a bit of help from humans, said Anders Hogner, from Astrazeneca plc’s R&D department at the Bio-IT World Conference & Expo Europe in London. “We don’t have anything out there yet,” he added, but the company appears to be working on it.
Artificial Intelligence (AI) driven tools have the ability to design new drugs, with a bit of help from humans, said Anders Hogner, from Astrazeneca plc’s R&D department at the Bio-IT World Conference & Expo Europe in London. “We don’t have anything out there yet,” he added, but the company appears to be working on it.
Researchers at the University of California, Davis (UC Davis) have developed a method of biofluid assessment capable of real-time monitoring as well as compatible with machine learning and neural network processing.
Quibim SL and Royal Philips NV have teamed up to utilize their artificial intelligence (AI)-enabled solutions to help clinicians deliver faster diagnosis and treatment of patients with prostate cancer. The partnership will see Philips AI-based magnetic resonance (MR) imaging technology integrated into Quibim’s AI based QP-Prostate software, to automate real-time prostate gland segmentation in MR images, and generate meaningful quantitative insights, as well as standardize MRI prostate exam reporting.
As more and more artificial intelligence (AI)-based solutions get developed to improve patient care, humans should ultimately remain in control because no AI system will be free from mistakes, said Ha Hong, Chief Artificial Intelligence Officer in Medtronic plc’s Endoscopy unit. “There will be some errors, it is simply not possible to create a system that is 100% error free,” he told BioWorld in an interview.