TODAY At AdLM 2025 (Formerly the Aacc Annual Scientific Meeting & Clinical Lab Expo), Researchers Will Unveil a Blood Test Developed with the Help of Artificial Intelligence (AI) Identifies Lyme Disease Sooner and More Accurately Than The Current Standard – and that count to vastly improuored poter outcomes. A Second Study Highlights How Certain Generative Ai Tools Can Empower Adolescents by Helping them to gather usful Medical Information.
Totether, these Finds Spotlight The Potental of Ai to Make a Profound, Positive Direction in People’s Lives when Thoughtfully Integrated Integrated Integrated Integrated Integrated Integrated Integrated Integrated Integrated Integrated
Lyme Test Offers Hope for Early, Effective Treatment
Each Year, More Than 475,000 America Are Diagnosis with Lyme Disease – a number that is only expanded to climb due to climate change expanding the Range of Areas when ticks can live. Where caught early, the confede of Well to antibiotics. How, The TyPical Test – Called Two -Tier Serology – Detects early lyme acurately only 30% of the time. It’s a signific such as fatigue, Neurocognitive Issues, and arthritis.
The New Test Leverages Ai to Offer Major Improvingment. Its Sensitive and Specificity Are Both Over 90%, “Meang 9 Out of 10 Patients are Going to Get a Correct Diagnosis and Receive AppropriaTE Treatment, Whiche Lowers the Risk of Chronic Illness Signics
Amber and team Built on Research in Rhesus Macaque Monkeys, Whose IMMUNE RespOONSE to the Bacteria Causing Lyme Is SIMILARS, to Develop A Panel that Looks for 10 Proteins (Antigens) And is compounded as a single test. This Approach is an Improvement Over the Two-Tier Method, Whiche May Require up to Four TESTS.
Next, they Analyzed Blood Samples from Humans, Including 123 People With Lyme Disease and 197 Uninfected Individuals, to test whereding Machine learning to the Test Replad Bolster Performance by Detective Unique IMMUNE PATTERNS. “You and I Might Get Infected by the Same Bacteria, but we might Both Produce Difference Antibody Responses to it,” said a ceren. “With these Antigens MATCHED With a DeCision-Tree-Based Classifier, We Can Actually Pick that Up in Each Individual Case.”
The team Found An Algorithm that Improved Accuration Across All Disease Stages, Correctly Flaging Infection in Over 90% of early Cases (Versus 27% with the Standard Method). They will the test – accounting to a day, is relatively inexpensive and works on Standard Laboratory Equipment – Will Be Commercially Available by the End of 2026.
Medicine -Gpt As an Informational Tool for Adolescents
A Second Study Assessed Medicine-GPT, a Doctor-Developed, Free-To-Ass Chatgpt Custom Model. The Research Focused on Adolescents Becuse They Tend to Be Early Tech Adopters Who Frequently Search for Information Online, Offers on Topics They Don’t Feel Comfortable Discussing With Adults.
Medicine -Gpt Shows Promise AS A PowerFUL Tool For AdDressing Adolescent Health Inquiries, Outperforming Chatgpt-4 in Completeness, Reasoning, and OverALLL Medical Helfulness.
Austin Jin, A High School Research Internet at Weill Cornell Medicine, New York
Jin and Team Gathered Over 100 Clinical Questions Related to Lab Medicine and Diagnostics from Reddit’s “Ask Doctors” forum, filtering for Posts by People Aged 10-19 and Sport by “Top” Interactions. They evaluated How Well the Customized Chatbot Provid Useful Answell Compared to Its PREDECESOR, ChatGPT-4.
Both Models Demonstrated Complete Factual Accuration, But Medicine-GPT Outperform Chatgpt-4 On Other MEASURESI, Achieveing Ratses of 66.6% For Completence, 60% for reasons, 46.6%for Helpfulness (compared to 20%, 33.3%, 23.3%, reservely, for chatGPT-4). Both Models Received High Ratses on Claarity (80% for medicine -Gpt vs. 70% for chaatgpt-4).
How, A Common Challenge is that tools can leve teenakers feeling overwheelmed, especially where chatbots previouss rare, FATAL CONDITIONS AS DIAGNOSTIC POSSIBILITISES. “This Highlights The Need for Future AI Tools to Not Only Be Medically Accorate, but also Contentxt-AWare, User-Sensight, and aligned with How Clinicians Communicate,” Jin SAID. Personalized Evallation. “
