Johns Hopkins develops AI tool that can detect tumor cell interactions
Researchers from Johns Hopkins have created a machine learning algorithm, SpaceMarkers, to identify molecular interactions among cells in and around tumors.
Stay updated with breaking news from Ene Expression. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.
Researchers from Johns Hopkins have created a machine learning algorithm, SpaceMarkers, to identify molecular interactions among cells in and around tumors.
A class of drugs used for their ability to stop tumor cells from dividing is now under study for their potential to reduce the pain and damage caused by sickle cell disease, investigators report.
A new review paper was published in Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 15, Issue 8, entitled, "How can we modulate aging through nutrition and physical exercise? An epigenetic approach."
In a recent article published in the journal Science Immunology, researchers in the United States performed a longitudinal cohort study in a golden hamster model to investigate the sensory-altering mechanisms induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection compared to an influenza A virus (IAV).
A new research paper was published in Oncotarget's Volume 14 on May 4, 2023, entitled, "Human LY6 gene family: potential tumor-associated antigens and biomarkers of prognosis in uterine corpus endometrial carcinoma."