Analytical, Life Science & Diagnostics Association (ALDA)’s Post

On July 22, we celebrate the Fragile X Day with the FRAXA Research Foundation and many other communities worldwide. Fragile X Syndrome (FXS) is the most common inherited single gene cause of autism. At Kantify, we're using Artificial Intelligence to develop innovative treatments for Fragile X. Mathijs van der Lei of University of Antwerp (photo) recently presented at the Gordon Research Conferences how we are jointly using a new assay and AI to measure subtle changes in the behavior of FXS mouse models, making drug testing more efficient. We're testing multiple drugs, targeting different pathways in FXS. We've established an innovative drug screening protocol by combining the multi-electrode array (MEA) for neuronal activity and the live mouse tracker (LMT) for behavior analysis. Preliminary data show alterations in the spontaneous firing and behavior of Fmr1 KO compared to wild-type, offering powerful insights into drug effectiveness. Stay tuned to find out more about our next discoveries! #WorldFragileXDay #FragileX #Research #AI #Biotech #Cure #FRAXA #ResearchUpdates Frank Kooy Caio Hudson Queiroz de Souza Mathijs van der Lei Michael Tranfaglia Nicolas Maignan Nik Subramanian

🔬 Evaluating Imaging Spatial Transcriptomics! 📍 A recent study, authored by Huan Wang and colleagues, systematically benchmarks three comercial imaging spatial transcriptomics (iST) platforms using formalin-fixed paraffin-embedded (FFPE) tissues. ➡ 10x Xenium ➡ NanoString’s CosMx ➡ Vizgen’s MERSCOPE 🔍 Study Highlights: 🛠️ Assessed across 23 types of tumor and normal tissues for both technical and biological performance. 📈 10x Xenium shows higher transcript counts per gene maintaining specificity. 🚀 All platforms showed good agreement with single-cell sequencing, confirming their efficacy in spatially resolved cell typing. 🎯 This benchmarking can help researchers choose the most effective iST platforms for their high-value samples in a fast-evolving field. 📚 bioRxiv paper: https://lnkd.in/duHVdHxK 📢 Join the Conversation 📢 Share your ideas, methods, and tools in the comments! 👇 💬 #SpatialTranscriptomics #Bioinformatics #CancerResearch #PharmaInnovation #iST

#scProAtlas: An Atlas of multiplexed single-cell spatial proteomics imaging in Human Tissues! #KeyHighlights: > Utilizes 8 spatial protein imaging techniques across 15 different tissues > Functional annotation details for 17,468,394 cells from 945 regions of interest > Advanced analyses including neighborhood analysis, proximity analysis, and neighborhood network mapping > Provides spatial cell maps of tissues with multi-modal integration > Enables spatial gene identification, cell-cell interaction, and spatial pathway analysis #Explore Here: https://lnkd.in/eRdeuWJ8 #Article link: https://lnkd.in/ezBmycxN Got value from this? Share 🔄 #SpatialProteomics #SingleCell #MultiOmics

🔬  Exciting times ahead for Lambda-X High Tech at the BIO International Convention in California! 🔬 ❓ 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: - We're diving deep into biophotonics applied to diagnostics, personalized medicine, and cell & gene therapy research. - It's a gathering of global biotech innovators and leaders, ideal for exploring cutting-edge advancements. 🌟  𝗪𝗵𝗮𝘁 𝘄𝗲 𝗯𝗿𝗶𝗻𝗴 𝘁𝗼 𝘁𝗵𝗲 𝘁𝗮𝗯𝗹𝗲: - Overcoming technical hurdles in biophotonics, like integrating fluorescence and Raman spectroscopy, to revolutionize diagnostic tools and therapeutic technologies. - Showcasing our expertise in cell imaging and diagnostics—key for accelerating research and enhancing outcomes in personalized medicine and therapy. 🤝  𝗧𝗵𝗲 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆: - Engaging with peers, experts, and potential partners to open new avenues for collaboration. - Contributing to industry developments and shaping the future of biophotonics in medicine and healthcare. 🌎 Our mission aligns perfectly with BIO’s aim: Innovating to cure patients, protect the climate, and nourish humanity. Looking forward to impactful discussions and sessions! 🔁 Feel free to share this post to spread the word about the innovative work happening at Lambda-X!  👇 Comment below if you’re attending BIO or are interested in the future of biophotonics! Olivier Fontaine will be our representative on-site!

Characterizing collections of molecules is an important chemoinformatics task. Beyond annotating molecules by common descriptors, can we gain insight by leveraging LLMs for initial triage? Our prototype app, MolSifter, does just that! We've been using NVIDIA Healthcare MolMIM model — guided by our own perturbation predictions — to generate molecules with specific effects on gene expression. LLMs help by 1) orienting us to interesting patterns in a collection and 2) enabling chat-based analysis to gain deeper insight. We are continuously exploring and building tools like MolSifter to map the relationships between chemical structure and gene expression to discover powerful new therapies for patients.

To all my peers around the New York City area! Join me for an exclusive GenAl in Life Sciences Summit focused on Partner Solutions! Join Form Bio & Google in New York City on Tuesday, May 7th from 1-5pm ET, for a discussion on pivotal discoveries using Generative Al in Life Sciences. You'll hear from Riju Khetarpal, Andrea McGonigle, Googlers and other peer partners like Sorcero and USDM Life Sciences who, like Form Bio, have developed cutting-edge innovations on Google Cloud for the life sciences space. I'll review how Form Bio helps Cell & Gene Therapy organizations apply the right Al and software to rapidly advance vector molecule development, using #FORMsightAl, our state-of-the-art 1-billion-parameter language model. Trained on an extensive dataset of over 3 trillion nucleotides, FORMsightAl is designed to predict and optimize vectors for heightened efficacy, safety, and manufacturability. I'll also discuss our purpose-built vector management toolset; a full suite for vector design and intelligence, including powerful visualizations and analysis capabilities. Register today! https://lnkd.in/g9VsizsH #GenAl #LifeSciences #Innovation #PartnerSolutions #GoogleCloud

🌟 Esact Conference Takeaways 🌟 1. 𝗣𝗿𝗼𝘁𝗲𝗶𝗻 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲:     Despite significant progress in novel therapies (such as gene therapy), protein production in mammalian cells (like CHO cells) remains a critical area of focus. The field is alive and evolving! 2. 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻:     In today’s bioprocess landscape, online measurements are required. Tools utilizing techniques like Raman spectroscopy and mass spectrometry have become incredibly compact and efficient. 3. 𝗗𝗮𝘁𝗮 𝗘𝘅𝗽𝗹𝗼𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆:      The sheer volume of data generated by online measurements is mind-boggling. Startups are proposing creative solutions, using a combination of machine learning, digital twins and even Bayesian tools to analyze data.      4. 𝗛𝘆𝗯𝗿𝗶𝗱 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗖𝗼𝗻𝘁𝗿𝗼𝗹:     Hybrid models, combining mechanistic and statistical approaches, offer flexibility in bioprocess control. They allow us to adapt and optimize processes effectively. 

Hear Ye! Hear Ye! If you are a startup in BioTech needing access to a wholistic transcriptional control stack working in-silico, Cognit AI is offering free opportunity to work on a collaborative PoC. Here is a KPI you can track:Key KPIs to track: - Predictive Accuracy: Our model forecast transcriptional changes with high precision. - Time Saved: Number of experimental cycles reduced. - Cost Savings: Reduction in wet-lab costs. Hit me up. Also RT and share to support us. Thank you. #Biology #Genomics #Oncology #ArtificialIntelligence

Dyno Therapeutics uses machine learning guided engineering of large molecular libraries to build new AAVs with: - 100x greater brain transduction - 10x improved liver detargeting - comparable production Inspired by their work, Hannah Han L. replicated a historic paper by Ogden et al, which took a look at all single-codon mutants of the AAV2 cap gene across 735 positions. She reproduced some of the key scientific results and had fun thinking about the same biological questions the Dyno team was confronted with years ago: 1/ How do mutations effect viral production? 2/ How do mutations effect biodistribution? 3/ How can we use machine learning to generate new, optimal designs? Along the way she digs into the guts of interesting visualizations and shows how to use Latch Plots — a Python-based scientific plotting framework - to answer these concrete questions.

Had a great time. It was a decent deep dive into the implications of living healthier for longer. Listen in and join the conversation! Replay here: https://is.gd/FpOd6O Kurtis Baker, CFP®, CEPA, AIF® Rider University 107.7 The Bronc #1435capital #biotech #healthspan #lifespan #spacebasedbiotech #earthbasedbiotech