Nick Edwards, PhD’s Post

Imageomics Set to Revolutionize Understanding of Life #Imageomics is a new interdisciplinary scientific field focused on using machine learning tools to understand the biology of organisms, particularly biological traits, from images #AI

Fascinating stuff! This article explores a new field called #imageomics: https://lnkd.in/e5W_5W2g This new field is all about using #ML and #computervision to analyze images of living organisms. Scientists are already using imageomics to unlock the mysteries of biology, but the potential applications for #healthcare are mind-blowing! Imagine doctors being able to diagnose diseases earlier and more accurately, or researchers developing new treatments based on a whole new level of understanding of biological processes. Imageomics could even help us personalize medicine to each individual's unique biology. #science #futureofmedicine

🌿 Excited to share our latest blog post diving into the fusion of technology and biology! 🚀 We've just published a two-part series exploring the fascinating intersection of Machine Learning and Bioprospecting - a powerful combination shaping the future of discovery in life sciences. In Part 1, we delve into the theory behind Machine Learning's potential in revolutionizing bioprospecting efforts, combining ecological theory with its ability to analyze vast biological datasets to uncover novel compounds and resources. 🧬✨ Part 2 takes a practical turn by leveraging ML models for a captivating application: psychoactive drug discovery. Explore how these models are driving innovation in understanding and potentially developing psychoactive compounds with therapeutic potential. 🧠💊 Join us in this journey as we explore how cutting-edge technology is propelling us towards groundbreaking discoveries in the realm of biodiversity and beyond! Part 1: https://lnkd.in/gz5im_8m Part 2: https://lnkd.in/gSBhCV6G Let's spark conversations and collaborate for a brighter, more sustainable future. 🌟💻 #MachineLearning #Bioprospecting #LifeSciences #Innovation #TechAndBiology

🚀 Hey everyone! Excited to drop a new blog series on our company's LinkedIn! 🌿 We're diving into how Machine Learning is revolutionizing bioprospecting in ways that'll blow your mind! Part 1 breaks down the nitty-gritty theory behind ML's role in unlocking nature's treasures. Part 2? Oh boy, we're talking using ML to explore the world for psychoactive compounds and potential breakthroughs! 😲🧠 Check it out and let's chat about how tech's shaping the future of life sciences! 🌍💡 #machinelearning #pharma #biotech

💡 What mysteries lie in the uncharted realms of protein space? 💡 Traditionally, biology is about reverse engineering - exploring and understanding how our world works. Now, the line between scientists and engineers blur as AI and other tools enable better and better forward engineering – creating new worlds from scratch. Of course, there is plenty of “real” protein space that remains unexplored. However, we should also delve into the “invented” protein space to find for groundbreaking discoveries beyond evolution's limits. Join the exploration with ProtGPT2 and use AI to uncover nature-inspired and boundary-breaking proteins. Is what you find true treasure of fools gold? You be the judge! Explore ProtGPT2 now: https://lnkd.in/gEsPvtqB Full length tutorial: https://lnkd.in/gN9b5Dsg

I'm thrilled and humble to announce my involvement in the latest release of OpenFold, the most popular training codes for AlphaFold2. This update enabled training of AlphaFold Multimer and introduced new workflows that are not covered by AlphaFold2 and ESMFold. It specifically enhanced the speed and can now compute the ranking of decoys to protein sequences. The new version of OpenFold will tremendously help my own PhD studies and I look forward to the new applications of our programme in advancing AI-powered computational biology research in academia and the industry. #alphafold #artificialintelligence #bioinformatics #computationalbiology Link to the release note on Github: https://lnkd.in/d4EyU5bv A short summary: https://lnkd.in/dFn-CF63

👌 Excited to share a great latest research in protein design - Toward De Novo Protein Design from Natural Language:! 👈 Pinal, a groundbreaking 2-stage generative framework is introduced . It transforms the way we approach protein design. By avoiding end-to-end text-protein generation, Pinal offers a more efficient and effective solution. 🔬 Key Highlights: 1. Optimal Sampler: Integrates both stages seamlessly, enhancing overall performance. 2. Outperforming ESM3: When prompted with text, Pinal surpasses ESM3, setting new benchmarks in protein design. The study provides the first substantial argument and evidence that end-to-end text-to-sequence mapping is challenging due to the vast protein sequence space. Instead, the 2-stage design leverages a smaller structure space, imposing constraints that significantly improve performance. Dive into the full paper for an in-depth understanding: [Toward De Novo Protein Design from Natural Language](https://lnkd.in/dc2_Avsb) Kudos to the incredible team drom Westlake University and University of Washington and a special shoutout to Fajie Yuan , Assistant Prof at Westlake University for leading this innovative journey! 🚀🔬💡 #ProteinDesign #Research #Innovation #Biotechnology #AI #LLM #genai #generativeai

BioCLIP-Elizabeth Campolongo, Ph.D.,Wei-Lun (Harry) Chao,Yu Su BioCLIP, a pioneering multimodal model developed by researchers from The The Ohio State University, Microsoft Research, University of California, Berkeley, Irvine, and Rensselaer Polytechnic Institute, revolutionizes biological information extraction from images. Utilizing over 450K taxonomic labels from the Tree of Life, BioCLIP significantly surpasses existing models in diverse biology classification tasks, demonstrating 17% to 20% better performance. Its hierarchical representation mirrors the tree of life's structure, enhancing generalizability. BioCLIP's success in accurately identifying species, genera, and other taxonomic ranks across a wide range of biological images, including rare species, marks a significant advancement in the application of AI to biology. #BioCLIP #MultimodalModel #BiologicalInformation #AI #TaxonomicLabels #TreeOfLife #BiologyClassification #HierarchicalRepresentation #ImageRecognition #AIinBiology #ResearchInnovation

🐺 Unveiling the Potential of Grey Wolf Optimizer (GWO) in Tech & Science! Our comprehensive review dives into GWO's inspiration, applications, and performance in various domains like engineering, bioinformatics, and image processing. 🚀 Highlighting its adaptability and efficiency in complex problem-solving, we explore future directions for enhancing GWO - from large-scale problem handling to hybridization and dynamic optimization. A promising path for algorithmic evolution! 🌐 #Optimization #Bioinformatics #Engineering #Bioinformatics_applications #Bioinformatic_tools This work presents the first comprehensive literature review of the Grey Wolf Optimizer (GWO) algorithm, discussing its inspiration, mathematical model, performance, and applications across various fields such as feature selection, training artificial neural networks, classification, clustering, and more. The paper critiques current works on parameter tuning, operator design, encoding schemes, and hybrid models involving GWO, while highlighting its applications in engineering, bioinformatics, environmental modeling, and image processing. The review underscores GWO's potential for further development, particularly in handling large-scale problems, designing memetic algorithms through hybridization, exploring dynamic optimization, and investigating its theoretical underpinnings. The conclusion emphasizes GWO's capacity to address complex problems and suggests future research directions to enhance its performance and application breadth.  https://lnkd.in/de6_bZsx

Hi everyone, Hope you are doing really well at your own pace ✨ Today I am writing to express a very good news in my B.Tech journey 🙂 The journey of the last 10 months, we have worked on a research oriented project on #gan and #bioinformatics named "Realistic ScRNA-seq cell generation using Graph Attention based Generative Adversarial Network". 🤖 GAN is basically used to generate realistic samples and most use of this technology is on images. But we have chosen a really different domain "Bioinformatics" 🧬 and "Human Cell". 🤖 As extracting human cell samples from patient is too difficult and costly, so to reduce the budgetary constraints and time we have chosen the #ml. 🤖 To know the real principle of Computation Biology and Single Cell Technology was a really interesting topic, really enjoying and know many things on it. 🌟🌟 A many many thanks to Dr. Sumanta Ray sir for your idea and complete guidance. To work on this hot-cake technology was not a cup of tea 🍵. From availability of very few resources on the internet to completing the work before the proposed time, the journey was really awesome 😊. 🌟🌟 Also many thanks to Dr. Sk Md Mosaddek Hossain sir for your guidance at every step when we wanted, thank you very much sir. 👾💫 Last but not the least, it will not be completed without this two mates Nilanjana Bhattacharya and Sruti Dey . Your dedicated work and huge effort to our work was priceless, hats off to you guys 💖. 💥 In few days, we will be publishing our research paper on this work 💥 💥 Website - Also live (due to confidentiality, we remain it private, public soon 😊) Thanks. #gan #ml #generativeadversialnetwork #gat #biology #singlecell #machinelearning #computationalbiology #generativeai #ai