Google Med-PaLM: The AI Clinician
Google's new model is trained to answer medical questions. How?- 21049Murphy ≡ DeepGuide
Predicting Drug Resistance in Mycobacterium Tuberculosis Using a Convolutional Network - Paper…
Neural networks can improve prediction in drug resistance prediction of pathogens- 20277Murphy ≡ DeepGuide
Making Language Models Similar to the Human Brain
There is still a gap between LMs and the human brain in NLP, inspiring AI to the latter could fill it- 24557Murphy ≡ DeepGuide
AI in Action: Guiding the Discovery of New Antibiotics to Target Multidrug-Resistant Bacteria
Applications of AI to problems that matter Discovering new antibiotics to combat drug-resistant bacteria is a major urge as bacteria become resistant to existing ones, but it is an extremely challenging and costly endeavour. Any new way to come up with ne- 20434Murphy ≡ DeepGuide
What Role Should AI Play in Healthcare?
What Role Should AI Play in Healthcare? Some of you may know that I am a sociologist by training – to be exact, I studied medical sociology in graduate school. This means I focused on how people and groups interact with illness, medicine, healthcare- 26104Murphy ≡ DeepGuide
A Surgeon's Reflections on Artificial Intelligence
A Clinical Perspective on Medical Innovation- 22127Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag