commit 909bb985d485890190a8740021e358da46bb7bdb
parent 90a9de917af75e7cba2c4e2650ee946b413c8d36
Author: beau hilton <cbeauhilton@gmail.com>
Date: Fri, 20 Oct 2023 18:39:11 -0500
update about, add h3 style
Diffstat:
2 files changed, 19 insertions(+), 4 deletions(-)
diff --git a/site/about.md b/site/about.md
@@ -1,13 +1,14 @@
## husband and father
Talented, beautiful people surround me.
-The [now page](beauhilton.com/now)
+The [now page](/now)
usually has the most current updates in this arena.
## physician
Dates are for the academic year, e.g. academic year 2026 ends in 2027.
+
Oncology fellow, Vanderbilt 2022-2026.
Internal medicine resident, Vanderbilt 2020-2022.
Medical school, Cleveland Clinic Lerner College of Medicine
@@ -88,7 +89,7 @@ and a part-time developer with protected time.
[Google Scholar profile](https://scholar.google.com/citations?user=Ng5AgXAAAAAJ)
-*If you are interested data science consulting, [contact me](beauhilton.com/contact).
+*If you are interested data science consulting, [contact me](/contact).
Current rate is listed at that link.*
*If you want to see an overview of projects,
@@ -98,7 +99,6 @@ and go to the sections between the horizontal lines.
They are in reverse chronological order (roughly),
newest projects at the top.*
-
My research has morphed over the years,
as everyone's does,
but the consistent thread and drive throughout
@@ -193,10 +193,15 @@ because it focuses on the tools rather than the subjects or goals.
---
-write about the abstracts project
+### disparities in cancer research across space and time
+
+TODO: write about the abstracts project
---
+### Cleveland Clinic Center for Clinical Artificial Intelligence
+### explainable machine learning for readmissions, with a focus on sociodemographics
+
While at Cleveland Clinic,
I was one of the founding members of the
Center for Clinical Artificial Intelligence,
@@ -245,9 +250,13 @@ See what it looks like [here](https://doi.org/10.1038/s41746-020-0249-z).
---
+### Cleveland Clinic Taussig Cancer Institute
+### explainable machine learning for blood cancer diagnostics
+
Initially, when I was going to be a malignant hematologist
(I still think it is a beautiful field, but was drawn away to other pastures),
I wanted to level the playing field for advanced diagnostics.
+
A world-class hematopathologist together with a world-class clinician,
preferably a whole group of these together,
are required to make certain diagnoses,
@@ -257,6 +266,7 @@ available in simple blood samples and from the electronic medical record
to support diagnostics, and, eventually, democratize them?
Further, what if the answer the machine gives could be not only accurate,
but interpretable?
+
What if we could get the machine to explain itself and its reasoning,
both as a check against biological implausibility
(and more insidious problems such as systemic racism),
@@ -267,6 +277,7 @@ rural Arkansas/Kandahar/Mogadishu/Kushalnagar/etc.,
instead of having to be shipped to
one of a handful of academic centers while the patient waits,
still sick, for an answer?
+
We made [some](https://doi.org/10.1182/blood-2019-126967)
[progress](https://doi.org/10.1182/bloodadvances.2021004755),
but these problems remain largely unsolved.
diff --git a/site/style.css b/site/style.css
@@ -65,6 +65,10 @@ h2 {
font-weight: 200;
}
+h3 {
+ font-weight: 200;
+}
+
body {
line-height: 1.5;
font-size: 1.6rem;
