[Paper Summary] A review of the effect of skin pigmentation on pulse oximeter accuracy
Announcements
July 14 2023: wearablebp.github.io is live! This website accompanies our timely review (publication soon). The goal of this website is to allow researchers to understand the state of Wearable BP.
May 5 2023: Defended M.S. thesis on Wearable Blood Pressure Monitoring and Study Design
Mar 25 2023: Appointed to the National Library of Medicine (NLM) Training Program in Biomedical Informatics and Data Science!
Nov 18 2020: Joined the Rice Computational Imaging Lab
Oct 27 2020: Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels
Recent Posts
[Paper Insights] Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting
Paper link, DOI: 10.1038/s41746-023-00868-x
[Paper Insights] The path toward equal performance in medical machine learning
The path toward equal performance in medical machine learning
Notes on What makes a good leader? by Daniel Goleman (Harvard Business Review) and some self-reflection
“After all, the leader’s task is to get work done through other people, and social skill makes that possible. A leader who cannot express empathy may not ...
Notes on Publishing for Impact: Barbara Cheifet, chief editor of Nature Biotechnology
Rice CS, Rice Ken Kennedy Institute:
The hidden curriculum: tackling moonshot projects in science
X, the moonshot factory: “pursuing things that sound undoable, but if done, could redefine reality”
Notes on Outlive by Peter Attia. Part I: Healthspan, the Four Horsemen, and Medicine 1.0, 2.0 and 3.0
Healthspan is different from lifespan Outlive is a book that aims to provide readers with information to delay or prevent these conditions so we can live l...
Diversity is not only skin deep
Today, I was in an interesting talk at Rice Statistics by Rebecca Hubbard from UPenn. In half of her talk, she touched upon various concepts related to “div...
Regulating machine learning for healthcare is not much different than regulating traditional medical devices
Recently I came across an article on whether the current FDA regulation for ML in healthcare sufficient. The authors argue that:
Combination Deep Diffractive Neural Networks
Deep Diffractive Neural Networks Deep Learning as become a basic tool for image classification. Training and testing using Deep Neural Networks is an incre...
Iterative Subspace Projection Methods for Large scale Linear Systems and Eigenvalue Problems
Solving Ax = b quickly is important. However, solving them for large sparse matrices is inefficient and time consuming (n-cubed by gaussian elimination). ...
Comparing Basic Linear Algebra Subprograms
The time to run a program can be modeled by: Time to run code = clock cycles running code + clock cycles waiting for memory. The improvement rate in pro...