Demystifying Protein Structure Prediction Models: AlphaFold, RosettaFold, ESMFold and beyond
The purpose of this blog post is to provide an introduction to protein structure prediction models,...
Dr. Ali Madani, Director of Machine Learning
Ali develops new deep learning models to improve drug-target interaction prediction. He completed his Ph.D. in Computational Biology at the University of Toronto, developing new feature selection approaches from omics profiles of patient tumors that are predictive of their survival and their response to drugs.
Artificial Intelligence in Drug Discovery
Artificial Intelligence (AI) systems, specifically machine learning (ML) technologies, learn how to...
Optimization process in artificial neural networks
To become better at a task, supervised machine learning (ML) methods need to get feedback about...
Deep Learning Across Label Confidence Distribution via Transfer Learning
When doing supervised machine learning, we would like to identify a relationship between some...
Deep learning as intelligent communication between neurons
Our natural networks of neurons work as decision-making systems with information processing units...
Machine Learning - Groups are collections of similar individuals
Did you notice in a conference room or event, people are grouped based on their similarities? They...
Machine Learning - Less is enough
We don’t need to know everything for decision-making. When doctors assess if a patient is obese or...
Machine Learning: Learning beyond living things
Industrial revolutions throughout history can be defined as pivotal stages in an advancing society,...