Petrina Kamya, Ph.D.

Last year at the International Conference on Machine Learning (ICML), we launched Valence Labs – a machine learning research lab in Montreal focused on developing the next generation of cutting-edge methods and models for drug discovery, with a focus on open science and academic partnerships. This year, we're showcasing discoveries that have emerged from these collaborations and helping to launch Polaris - Benchmarks for methods that matter – a new platform for ML in drug discovery that aims to provide standardized, domain-appropriate datasets, guidelines, and tools for method evaluation and comparison. 🎉 Polaris Launch Party is 7/25, register here: https://lu.ma/wj1agv8o Discoveries include: ◼ Learning to Scale Logits for Temperature-Conditional GFlowNets: In this paper, researchers including Yoshua Bengio demonstrate Logit-scaling GFlowNets (Logit-GFN) – a new generic architecture design of temperature-controlled Generative Flow Networks (GFlowNets) which offer a training framework for learning generative policies that sequentially construct compositional objects to be sampled according to a reward function and also adjust based on temperature, a limitation of current models. GFlowNets can uncover a multitude of highly related samples from a diverse set of modes, making them ideal for drug discovery. They also introduced an online discovery algorithm that uses Logit-GFN alongside a temperature control policy, inducing superior exploration-exploitation trade-offs. In experiments, they found that the Logit-GFN architecture significantly enhances training stability, characterized by a smooth and rapid loss convergence. 📎 https://lnkd.in/ekDVhV47 ◼ Graph Positional and Structural Encoder: In this paper, researchers present the Graph Positional and Structural Encoder (GPSE), the first-ever graph encoder designed to replace hand-crafted positional and structural encodings (PSE) by learned PSE in any graph neural network (GNN). Hand-crafting PSEs that work optimally for all graph prediction tasks has been challenging and prone to overfitting. By learning an efficient common latent representation from multiple PSEs, the proposed GPSE learns an efficient common latent that is highly transferable: The encoder trained on a particular graph dataset can be used on datasets drawn from markedly different distributions and modalities. Across a wide range of benchmarks, GPSE-enhanced models significantly outperformed those that employ hand-crafted PSEs, paving the way for the development of foundational pre-trained graph encoders for extracting positional and structural information, and highlighting their potential as a powerful, efficient alternative to explicitly computed PSEs. 📎 https://lnkd.in/efhBCiXH #icml #openscience #academic #ai #ml #drugdiscovery #techbio #gnn Berton Earnshaw Joohwan Ko Emmanuel Bengio Woo Chang Kim Semih Cantürk Renming Liu Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampasek

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Despite spectacular breakthroughs in human molecular genetics and information technologies, experts at McGill University show that #pharmacogenetic (PGx) testing in approved #cardiovasculardrugs is limited. As pre-emptive PGx combining genomic profiling with electronic medical records offers significant potential for improving healthcare, more research is needed to validate PGx markers. Read the article here: https://lnkd.in/e_43cSgm. #CVD #PharmacologicalReviews #pharmacology 

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The program will consider AI-related proposals. And there are also possibilities to draw expertise of NRC’s Research Centers. 

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Exciting News at Innovation Network Canada!    We are thrilled to welcome Dr. Colin Collins, PhD as our new Chief Genomics Officer. With a distinguished career in genomics and cancer, Dr. Collins brings unparalleled expertise to our team.   Dr. Collins has been a driving force in the fields of genome and cancer research, particularly in the areas of prostate cancer genomics. His work has been instrumental in advancing our understanding of cancer biology and developing innovative therapeutic approaches. As the head of the Laboratory for Advanced Genome Analysis at the Vancouver Prostate Centre, he has led numerous groundbreaking studies that have had a profound impact on our understanding of prostate cancer.   At Innovation Network Canada, Dr. Colin Collins, PhD will lead our genomics initiatives, helping to shape the future of personalized medicine and drive transformative change in healthcare. His deep knowledge and innovative mindset will be invaluable as we continue to push the boundaries of what’s possible in the field of genomics.   Please join us in welcoming Dr. Collins to our team! We are excited about the incredible work we will accomplish together. #Genome Analysis #Genomics #AI #QuantumComputing #HealthcareInnovation #PrecisionMedicine #CancerResearch #PersonalizedMedicine #Biotechnology #LifeSciences #Innovation #holisticApproach #MultidisciplinaryInnovation #HealthcareLeadership #MedicalResearch #GenomicMedicine #DigitalHealth #HealthcareTransformation #HealthTech #ResearchAndDevelopment #Vancouver #BritishColumbia #BC #Canada #SustainableDevelopmentGoals #GlobalCollaboration #Global May Siksik Ray Simkus Urs Ribary Alex Khan

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