Ida Emilie Steinmark, PhD | Aug 1, 2023 | 2 min read
Algorithms can now glean ever more molecular and genetic information from images of stained tissue, but some researchers worry that we can’t follow their logic.
The Scientist’s Creative Services Team | 1 min read
In this webinar, Benton Berigan will highlight the value of combining multimodal data, including spatial information, to understand complex immunological processes.
Sherif Zaki worked at the Centers for Disease Control and Prevention for more than 30 years, and was renowned for uncovering crucial intel on various outbreak-causing scourges, from Ebola and Zika to SARS and influenza.
Stephen Schwartz, known for his work on the vascular system, is the first person associated with the university to succumb to infection with SARS-CoV-2.
Machine learning can analyze photographs of cancer, tumor pathology slides, and genomes. Now, scientists are poised to integrate that information into cancer uber-models.
A study confirms that the spaces between cells are fluid-filled, rather than tightly packed with connective tissue, but pathologists say the findings’ implications remain to be seen.