Dive Brief A recent study showed that a version of ChatGPT analyzes medical images at an expert level but frequently reached the right answer with incorrect reasoning. The results, which were published Tuesday in the peer-reviewed journal npj Digital Medicine, show OpenAI’s artificial intelligence GPT-4 with vision is as good at answering multiple-choice questions about medical images as physicians who lack access to external resources. However, the model made mistakes in image comprehension, while still reaching the right answer, 27% of the time. The researchers said the errors show the need for further study before the AI models are integrated into clinical workflows. Dive Insigh GPT-4 with vision, called GPT-4V, is a version of the ChatGPT large language model that can analyze images and text at the same time. Pilot medical studies found the model outperformed medical students and physicians in closed-book settings. However, those studies looked at the answers ...
The progressive neurodegenerative disease affects more than 55 million people globally Innovate UK has awarded £4m through its Contracts for Innovation to four UK companies for research into dementia diagnosis. As part of the Bio-Hermes-002 study led by the US-based Global Alzheimer’s Platform Foundation (GAP) in partnership with Novo Nordisk, the organisations will evaluate blood-based and digital innovative biomarkers for the neurological condition. Affecting more than 55 million people globally, which is expected to triple by 2050, dementia is a neurodegenerative condition that affects the ability to remember, think or make decisions in everyday life. The study aims to explore whether these biomarkers can predict the extent of tau and amyloid brain pathology and potentially provide more efficient and less invasive alternatives to the current gold standard for dementia diagnoses: positron emission tomography brain imaging. The project will involve 1,000 participants who are cognitively normal, have mild cognitive impairment or ...
By Mike Hollan The platform utilizes standards set forth in a recently published document from the CDC. After years of collaborating with hospitals, Magnolia Medical has launched a new digital platform designed to prevent sepsis misdiagnosis.1 The platform, Magnolia Analytics, was designed with the CDC’s recently published Blood Culture Contamination guidelines in mind. The main addition to the guidelines is a new step utilizing initial specimen diversion devices, which Magnolia specializes in. CDC notes that reducing sepsis misdiagnosis is important as it can play a key role in reducing the amount of needlessly prescribed antibiotics, which can then further play a role in reducing instances of antibiotic resistance. In a press release, Magnolia Medical co-founder and CEO Greg Bullington said, “In response to our customer’s clear unmet needs, we developed Magnolia Analytics as a custom, exclusive solution to support our hospitals in achieving and sustaining their blood culture contamination rates ...
Don Tracy, Associate Editor The collaboration with OpenAI is part of Lilly’s strategy to combat drug-resistant pathogens through its Social Impact Venture Capital Portfolio. Eli Lilly and Company and OpenAI have agreed to terms on a deal to leverage generative artificial intelligence (AI) for discovering new antimicrobials to combat drug-resistant bacteria. According to Lilly, antimicrobial resistance (AMR) poses a significant risk throughout the world, especially in low- and middle-income countries. Additionally, the misuse and overuse of antimicrobials in humans, animals, and plants are the primary influences for developing drug-resistant pathogens, amplifying AMR in the process.1 “Our collaboration with OpenAI represents a groundbreaking step forward in the fight against the growing but overlooked threat of antimicrobial resistance,” said Diogo Rau, EVP, chief information and digital officer, Lilly, in a press release. “Generative AI opens a new opportunity to accelerate the discovery of novel antimicrobials and the development of custom, purpose-built technologies ...
Pathologists are tasked with examining body fluids or tissues to diagnose diseases, a process that involves distinguishing rare disease-indicating cells from thousands of normal cells under a microscope. This skill requires extensive training. Artificial intelligence (AI) can assist by learning to differentiate between healthy and diseased cells from digital pathology images. However, traditional AI tools, once trained, lack flexibility. They are designed for specific tasks, such as identifying cancer cells in one organ but not another, and might not align perfectly with a pathologist’s specific needs in different scenarios. Now, a collaborative team of computer scientists and physicians has developed a new AI tool that not only identifies diseased cells but also adapts to a pathologist’s requirements. Developed at Stanford Medicine (Stanford, CA, USA), the tool, named nuclei.io, functions like a human assistant that evolves with feedback. Starting with the basic function of recognizing different cell types by their nuclei, ...
Eli Lilly has joined a growing list of pharma companies to partner with OpenAI, as it seeks to develop new treatments for drug-resistant pathogens. The collaboration will utilise the generative artificial intelligence (genAI) from OpenAI to come up with new solutions for microbial infections. Lilly didn’t specify the exact details of how OpenAI’s technology will be used, or any financial terms of the deal. Lilly joins Sanofi and Moderna, who have both unveiled partnerships with the genAI platform OpenAI this year. Last month, Sanofi announced that it was partnering with Formation Bio and OpenAI to harness AI to expedite drug development. On the other hand, Moderna has incorporated ChatGPT into an internal messaging platform called mChat, to harness data analytics, and use image generation, and dose selection. This new collaboration with OpenAI builds on Lilly’s commitment to tackle antimicrobial resistance (AMR). The pharma giant previously contributed $100m to the AMR ...
On June 7, Chiatai Tianqing Pharmaceutical Group and China Resources Pharmaceutical Commercial signed a strategic cooperation agreement in Tianjin. Based on the principle of resource sharing, complementary advantages and common development, the two parties will carry out in-depth cooperation in the fields of pharmaceutical research and development, production, sales and circulation, and jointly help the sustainable development of China’s pharmaceutical industry. Chiatai Tianqing’s commercial director Qi Tianze and CR Pharmaceuticals Commercial Deputy General Manager Dong Hao signed the agreement on behalf of the two parties. As one of the leading pharmaceutical companies in China, Chiatai Tianqing has always been committed to researching and developing innovative drugs, improving drug quality and meeting patients’ needs. With strong R&D strength and market competitiveness, the company has won wide recognition and trust. As an important pillar industry of China Resources Group, China Resources Pharmaceutical Commercial has a comprehensive pharmaceutical distribution network and market channels, ...
Affecting more than 7 million people in the UK, cardiovascular diseases are conditions that affect the heart or circulation The British Heart Foundation (BHF) has awarded a total of £35m in funding to nine universities across the UK to help strengthen world-leading cardiovascular disease research. Provided through BHF’s Research Excellence Awards scheme, the funding will support research environments that encourage collaboration, inclusion and innovation to accelerate lifesaving breakthroughs. Affecting around 7.6 million people in the UK, cardiovascular disease is a term for conditions that affect the heart or circulation, including high blood pressure, stroke, heart disease and vascular dementia. The nine universities to receive part of the funding include Imperial College London (ICL), King’s College London (KCL), the University of Cambridge, Edinburgh, Leeds, Leicester, Manchester, Oxford and University College London. For the next five years, the funding will enable cutting-edge research to address some of the biggest cardiovascular disease challenges, ...
“The introduction of the ‘old for new’ policy is good news for the entire medical market, especially for companies like us that have been rooted in China for many years.” Pu Zhengrong, vice president of Siemens Healthineers Greater China and head of clinical treatment systems, expressed the above views in an interview with China News Service recently. At the 89th China International Medical Equipment (Spring) Fair (CMEF) which just ended in Shanghai, the “old for new” policy for medical equipment was undoubtedly a hot topic. Faced with the trillion-level market released by this policy, a number of multinational companies showed great interest. Chen Jinlei, vice president of GE Healthcare China and general manager of medical imaging business, said that after the “old for new” policy was released, the medical industry, from users to manufacturers, paid close attention to it. “We have developed eight targeted plans for ‘old for new’.” On ...
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