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Blood test propelled ai improves:
Today. Therefore, at ADLM 2025 (formerly the AACC Annual Scientific Meeting & Clinical Lab Expo), researchers will unveil a blood test developed using artificial intelligence (AI) which identifies Lyme disease earlier and more precisely than the current standard – and which could result in results considerably improved by patients. Therefore, A second study underlines how certain generative AI tools can empower adolescents by helping them collect useful medical information.
Together. Moreover, these results highlight the potential of AI to make a deep and positive difference in people’s lives when they are carefully integrated into clinical laboratory medicine.
Lyme test offers hope for early. Consequently, efficient treatment
Each year, more than 475,000 Americans receive a diagnosis of Lyme disease – a certain number which should only increase because of climate change expanding blood test propelled ai improves the range of areas where ticks can live. However, When captured early, the condition reacts well to antibiotics. However, the typical test – called two -level serology – detects the early Lyme with only 30% of the time. Nevertheless, This is a significant missed opportunity because more than half of Lyme patients have not diagnosed. However, treated in the first weeks of infection will develop long -term health problems such as fatigue, neurocognitive problems and arthritis.
The new test takes advantage of AI to offer a major improvement. Moreover, His sensitivity. specificity both exceed 90%, “which means that 9 out of 10 patients will obtain a correct diagnosis and receive appropriate treatment, which considerably reduces the risk of chronic disease,” said Holly Ahern, microbiologist and chief scientific director in Ace Diagnostics.
Ahern. the team have been built on research on rhesus macaque monkeys, whose immune response to bacteria causing Lyme blood test propelled ai improves is similar to humans, to develop a panel that is looking for 10 proteins (antigens) and is completed in a single test. This approach is an improvement in relation to the two -level method, which may require up to four tests.
Then. they analyzed the human blood samples, including 123 people with Lyme disease and 197 uninfectable individuals, to test whether the addition of automatic learning to the test could strengthen performance by detecting unique immune models. “You. I could be infected with the same bacteria, but we could both produce responses from different antibodies,” said Ahern. “With these antigens paired with a classifier based on decision -making trees. we can really pick up this in each individual case. »»
The team found an algorithm that has improved precision at all stages of the disease. correctly signaling the infection in more than 90% of the first cases (compared to 27% blood test propelled ai improves with the standard method). They hope that the test – which. according to AHERN, is relatively inexpensive and operates on standard laboratory equipment – will be available in trade by the end of 2026.
Blood test propelled ai improves
Medicine-gpt as an information tool for adolescents
A second study evaluated Medicine-GPT. a personalized free chatgpt model developed by the doctor. Research has focused on adolescents because they tend to be early technological adopters who frequently seek online information. often on subjects that they do not feel comfortable to discuss with adults.
Medicine-GPT is promising as a powerful tool to combat adolescent health demands. outdoor chatpt-4 in comprehensiveness, reasoning and overall medical utility. “”
Austin Jin, research intern at Lycée at Weill Cornell Medicine, New York
Jin and the team have brought together more than 100 clinical questions related to laboratory medicine and the diagnostics of blood test propelled ai improves the Reddit “Ask Doctors” forum, filtering the posts of people aged 10 to 19 and sorted by “higher” interactions. They evaluated to what extent the personalized chatbot provided useful responses compared to its predecessor, Chatgpt-4.
The two models have shown complete factual precision, but Medicine-GPT has surpassed the chatgpt-4 on other measures, obtaining notes of 66.6% for exhaustiveness, 60% for reasoning and 46.6% for protection (compared to 20%, 33.3% and 23.3%, respectively, for Chatgpt-4). The two models received high ratings on clarity (80% for Medicine-GPT VS 70% for Chatgpt-4).
However. a common challenge is that these tools can let adolescents feel overwhelmed, especially when chatbots have rare and fatal conditions such as diagnostic possibilities. “This highlights the need for future AI tools to not only be medically accurate. but also in the context, sensitive to users and aligned on how clinicians communicate,” said Jin.
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