Ai 工程 大 模型 应用 开发 实战

Over half of US adults with Alzheimer disease and related dementias (ADRD) remain undiagnosed. Speech-based screening algorithms offer a scalable approach, but the relative value of large language model (LLM) adaptation strategies is unclear.

One of the major challenges in natural product discovery is the prioritization of compounds with useful activities from microbial sources. Here, we utilize a machine learning model that predicts the antibacterial activity of a natural product from its biosynthetic gene cluster (BGC) into our genome mining pipeline. Using this approach, we prioritized the strain

Melanoma, a highly aggressive form of skin cancer, is the second most common type of cancer for adolescent and young adult (AYA, ages 15-39 years) patients. AYA patients with melanoma may turn to internet sources, especially artificial intelligence (AI) chatbots, to manage uncertainty about prognosis and treatment.