We are proud to announce that Jigar Doshi, a highly impactful star in the AI for Social Good space, has joined our Machine Learning team to build and scale the next generation of our protein engineering models for therapeutic applications.
Aikium Inc.’s Post
More Relevant Posts
-
I have to get on here and praise Pat Walters for his fantastic blog 👏 👏 His writings are incredibly valuable for those seeking to expand their knowledge and techniques using machine learning for drug discovery. Finding this blog has been a game-changer for me and I really can't read the articles fast enough! 📚 Here is the link: https://lnkd.in/eJbBSNqQ
To view or add a comment, sign in
-
"Thrilled to have completed an AI-based QSAR and Machine Learning course! 🚀 This experience deepened my understanding of how AI can revolutionize drug discovery by predicting molecular activity with precision. Excited to apply these cutting-edge techniques to real-world challenges and continue exploring the intersection of AI and chemistry. #MultiTargetAi #ArtificialIntelligence #MachineLearning #QSAR #DrugDiscovery #ContinuousLearning"
To view or add a comment, sign in
-
-
https://lnkd.in/eZHjh2gx Big AI advance in modelling the structure of proteins shown to be more broadly applicable
Accurate structure prediction of biomolecular interactions with AlphaFold 3 - Nature
nature.com
To view or add a comment, sign in
-
Day 10 of understand and simplifying research using AI Machine Learning: A Game-Changer for Metabolic Engineering? Tired of the limitations of traditional trial-and-error methods in metabolic engineering? 🧪🔬 This new paper explores how machine learning can revolutionize the field. 🤖 From pathway construction to production scale-up, ML offers a promising solution for engineering complex biological systems. 🧬 But it's not just about the tech; understanding the relationship between ML and mechanistic models is key. Want to learn more? Check out the paper [https://lnkd.in/gFeJKwjP]. #metabolicengineering #machinelearning #biotechnology #innovation #artificialintelligence
To view or add a comment, sign in
-
-
“Sharing is Caring” Hi 👋 #AI Community!!! #sharingiscaring “#Knowledge Booster” 📚 Expand your knowledge base with this helpful article..Keep #Learning !! 👍 NOTE : This is NOT a paid Advertisement #Neurology #neurosciences #Robotics #artificialintelligence #dataanalytics #datascience #machinelearning #deeplearning #python #R #probability #permutations #statistics #calculus #linkedinfamily #knowledgesharing #machinelearningalgorithms #neuralnetworks #deeplearning #deeplearningai #computervision Join me on my way into an exciting world of Data/Analytics/AI 🍁Let’s Connect Now
Deep Learning / ADAS / Autonomous Parking chez VALEO // Curator of Deep_In_Depth news feed on BlueSky
Epic “Crossover” Between AlphaFold 3 and GPT-4o’s Knowledge of Protein Data Bank Entries
Epic “Crossover” Between AlphaFold 3 and GPT-4o’s Knowledge of Protein Data Bank Entries
towardsdatascience.com
To view or add a comment, sign in
-
Zoran Krunic, Senior Manager of Data Science at Amgen Research and Development, is my Superposition Guy's Podcast guest this week. Zoran and I talk about leveraging quantum machine learning for clinical trial data, the challenges of implementing new technologies in regulated environments, combining quantum computing with generative AI, strategies for scaling quantum efforts in biopharma, and much more. Spotify link: https://lnkd.in/gME3HBiJ Transcript: https://lnkd.in/gZSbTtCZ
To view or add a comment, sign in
-
-
The CEO of Google DeepMind Demis Hassabis has won the Nobel Prize for Chemistry for his revolutionary work on proteins, the building blocks of life. This work is exponentially speeding up the development of disease treatment and drug discovery. Check out this video to learn more about AlphaFold and AlphaProteo (and Orbit’s AI for advanced materials). https://lnkd.in/grhkuFc5
Google DeepMind's New AI Just Did in Minutes What Took Scientists Years
https://www.youtube.com/
To view or add a comment, sign in
-
In this Forefront interview, Dr. Fortune Mhlanga shares how Meharry Medical College is building a transformative data science program that addresses the critical need for diversity in AI. Discover how they’ve grown from just 10 students in 2020 to 90 today, and how their graduates are making an impact. Learn about the role of AI in healthcare, industry partnerships, and future plans. Read the full interview at https://lnkd.in/eM7mCK-m
To view or add a comment, sign in
-
-
Dr. Fortune Mhlanga advises to create transformative programs -> "approach it like a builder—carefully laying each brick until, eventually, you have a solid program, students enrolled, and faculty ready to support its growth!" Learn more about how Meharry Medical College is Expanding Representation in AI and Data Science.💡🎓 🚀
In this Forefront interview, Dr. Fortune Mhlanga shares how Meharry Medical College is building a transformative data science program that addresses the critical need for diversity in AI. Discover how they’ve grown from just 10 students in 2020 to 90 today, and how their graduates are making an impact. Learn about the role of AI in healthcare, industry partnerships, and future plans. Read the full interview at https://lnkd.in/eM7mCK-m
To view or add a comment, sign in
-
-
Check out our new paper describing how we utilize existing observational EHR data to improve predictive modeling and biomarker discovery!
Collecting #omics data is expensive, but #EHR data is available for large patient cohorts for free! In our latest Nature Machine Intelligence paper, we show how a multi-modal deep learning algorithm can use EHR data to supercharge omics models: https://lnkd.in/gB3K4Scq Hard work by (soon to be Dr.) Samson Mataraso.
To view or add a comment, sign in
-