Alexander Morgan, MD PhD
@alexmorgan.bsky.social
Physician/scientist, partner at Khosla Ventures, investing in the future. 25 years of experience in the intersection of AI/ML, biotech and healthcare.
Personal interests in art (painting, drawing, photography), sci-fi/fantasy, anthropology, and history.
Personal interests in art (painting, drawing, photography), sci-fi/fantasy, anthropology, and history.
Some other example regular words that have a very narrow and specific meaning in medicine: adherent, disposition, provider, admit, line, failure, acute, code, delivery, onset, manage. It’s surprising to me how big that list is as I think it through.
February 28, 2025 at 3:59 PM
Some other example regular words that have a very narrow and specific meaning in medicine: adherent, disposition, provider, admit, line, failure, acute, code, delivery, onset, manage. It’s surprising to me how big that list is as I think it through.
I assume you knew that generally, but I think it’s interesting how often “unremarkable” is used in medicine as a term with actually a fairly narrow use/meaning.
February 28, 2025 at 2:49 PM
I assume you knew that generally, but I think it’s interesting how often “unremarkable” is used in medicine as a term with actually a fairly narrow use/meaning.
I think it’s because it comes from radiologists remarking on findings of disease in an imaging study report. It’s one of those case of a specific meaning of a regular word. When you work through a medical case (esp in a published case study), you collect remarks from the consulting specialists.
February 28, 2025 at 2:48 PM
I think it’s because it comes from radiologists remarking on findings of disease in an imaging study report. It’s one of those case of a specific meaning of a regular word. When you work through a medical case (esp in a published case study), you collect remarks from the consulting specialists.
Reposted by Alexander Morgan, MD PhD
In fact the opposite has generally been the case: we discover insight into micro-level phenomena as a result of developing accurate meso-scale theories.
Thermodynamics came before statistical mechanics and served as the key constraint on it.
...
Thermodynamics came before statistical mechanics and served as the key constraint on it.
...
February 27, 2025 at 3:55 PM
In fact the opposite has generally been the case: we discover insight into micro-level phenomena as a result of developing accurate meso-scale theories.
Thermodynamics came before statistical mechanics and served as the key constraint on it.
...
Thermodynamics came before statistical mechanics and served as the key constraint on it.
...