Prevalence of LDL-C above 2026 dyslipidemia guideline goals among US adults
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 10:16 ET (30-Oct-2026 14:16 GMT/UTC)
An analysis of more than 13,500 samples from three major single-cell atlas resources found that European ancestry was overrepresented, while Asian and Latino populations were underrepresented and many samples lacked ancestry information. The findings highlight the importance of improving representation as these datasets are increasingly used in AI models, biomarker discovery, and precision medicine.
Weill Cornell Medicine investigators have developed a new AI-based method to assess patients with a form of blood cancer called myelodysplastic neoplasms. The method, published June 30 in Leukemia, compares the physical locations and morphometric (size and shape) characteristics of every hematopoietic cell in the patient’s bone marrow sample with those in healthy bone marrow, to generate a score that reflects disease severity.
Significant advances have been made in the development of patient-derived tumor “organoids” for preclinical research, in two new studies led by Weill Cornell Medicine investigators. The advances represent progress in precision medicine and point to the more routine use of tumor organoids as models for evaluating and optimizing cancer treatments.
Dubbed PATTY, the tool corrects hidden bias in a widely used genomics method, helping scientists distinguish true biological discoveries from false leads.