Ardigen

Join Our Presentation at the Drug Discovery Europe Conference! Our expert, Krzysztof Rataj,PhD will be presenting "Phenotype-Guided Drug Design: From Image to Structure" on May 22nd at 1:10 PM, Track 3. This session will focus on integrating phenotypic data with structural drug design to advance therapeutic discoveries. Additionally, meet our team at the conference: Livia Legg, Kaja Milanowska-Zabel, Ph.D., MBA, and Agnieszka Plociennikowska, PhD to discuss innovative approaches to drug discovery and explore potential collaborations. We look forward to meeting the European scientific community!

Are you curious about synthetic lethality and its possible role in drug discovery and development? Our team just presented a poster at the "Target to Patient" conference, detailing Ardigen's approach to this topic with a case study. For additional insights and discussions on this or other conference topics, such as advances in genomics for target choice, data analysis, and AI/ML in drug discovery, feel free to connect with Marek Piatek, PhD and Sean Melville at the event or on LinkedIn. You can also view the poster here:  https://lnkd.in/dEd55F-Z #targetdiscovery #target2patient #drugdiscovery

In antibody drug development, lead optimization is a crucial phase that often determines whether the therapy is likely to succeed in the clinic. Traditionally a time-consuming and costly process, antibody lead optimization efforts can be greatly enhanced with #AI. In a new blog post, written by our specialists: Maciej Jasinski and Joanna Marczyńska-Grzelak, we summarize the latest developments in AI tools for antibody improvement. Using real-world examples, we highlight three main ways AI can enhance lead optimization efforts based on the type of input data: ✔ Antibody sequence only. ✔ Sequence and structure. ✔ Sequence, structural, and target data. Learn how you can take advantage of the power of AI for antibody improvement and maximize the efficiency of your lead optimization efforts. Read the article: https://lnkd.in/g3fCqD8U #drugdiscovery #antibodies #leadoptimization

The commitment of our team to make a real difference both in the life science area and in community support makes our company very proud. It's crucial to always keep in mind the most important goal. Well done to the team: Livia Legg, Sean Melville, Piotr Faba, Kamil Malisz!

What are digital twins and how can they change the future of cancer care and research? I'm glad that I joined the keynote presentation hosted by Caroline Chung, MD, MSc, FRCPC, CIP, Vice President and Chief Data Officer, and Director of Data Science Development and Implementation at the Institute for Data Science in Oncology, MD Anderson Cancer Center. How the industry will adopt this concept in the future remains an open question. #BioIt2024 #BioITWorld

This year at BIO-IT kick off we've reminded ourselves how the current large scale AI approach mimics the HPC challanges resolved in the past indicating the cloud is not the only way ahead. The challenges and risks for the adoption of AI will be Trust and Keeping Data Private. I'm glad that the industry is already thinking about this, and solutions addressing those issues can be found also at Ardigen's booth #518.

🚀 Meet our amazing team Livia Legg, Agata Miezaniec, PhD Kamil Malisz, Piotr Faba and Katarzyna Żułkiewska-Bodden at the BioIT World Conference! Join us at Booth #518 to explore our work in AI and bioinformatics. 🔹 Catch a live demo of our Data and Experiment Management Platform. 🔹 Explore our expertise in Bioinformatics Workflows. 🔹 Discover our advancements in AI for Protein Design, Screening, and Optimization. 📅 Tomorrow, visit our website for more details and access to our featured posters about AI Driven Target Discovery and Validation and Integrating Cheminformatics and Phenotypic Screening! 🌟 For additional insights, be sure to check out the profiles of our team members, Kamil Malisz and Piotr Faba. #BioITWorld #PrecisionMedicine #BioIT2024 #BioITExpo

Summer #Internship Opportunities at Ardigen: Jumpstart Your Career! We're offering paid internships for ambitious students in: #Bioinformatics, #FullStack Development and Machine Learning Engineering Highlights: ✔ Engage in impactful life science research. ✔Collaborate with experts. ✔Flexible hours & hybrid model. Seeking: 🔸Master’s students or recent grads in relevant fields. 🔸Fluency in English 🔸Problem-solving mindset. Offer: ✔2-3 month paid internship. ✔Opportunity to work on breakthrough solutions. Apply by May 6! Shape the future of medicine and code against cancer with us. https://lnkd.in/dfhTrwW

Join us at the #BioIT World Conference & Expo! We're excited to be part of the leading event that showcases the latest in precision medicine technology. Find the Ardigen team, including Livia Legg, Agata Miezaniec, PhD, Kamil Malisz and Piotr Faba, at booth 518 where we have a packed agenda of presentations and discussions. We will be presenting two posters: 🔹 P03: "AI Driven Target Discovery and Validation Bridging In Vitro Models and Tumor Characteristics for Personalized Therapy." 🔹 P04: "Integrating Cheminformatics and Phenotypic Screening: A Novel Approach for Enhanced Mode of Action Prediction." At our booth, you can expect short demos: 🔹 A live demo of our Data and Experiment Management Platform. 🔹 A demo of our capabilities in Bioinformatics Workflows. 🔹 Our advancements in AI for Protein Design, Screening, and Optimization. Connect with us! Book a meeting with us at the conference by signing up here: https://lnkd.in/ddGQv4zd #BioITExpo #PrecisionMedicine #Bioinformatics

At the recent conference dedicated to #IBD, our computer vision expert Dawid Rymarczyk, PhD presented both a talk and a poster on our collaborative work and publication with Janssen Research & Development and Jagiellonian University. Our AI model's capabilities were a key focus, demonstrating precision matching that of a trained central reader in biopsy assessments. Highlights included: 🔹Precision Alignment: Our AI model's scoring closely aligns with central reader evaluations, showcasing its synergy with endoscopic improvement and clinical remission accurately. 🔹Disease Activity Assessment: A comparison between our SA-AbMILP model and the central reader emphasized the model's accuracy in capturing disease activity. 🔹Expert Validation: Our interpretability component, through SA-AbMILP attention maps, offers a transparent method for verifying AI predictions, allowing for expert validation by highlighting key image areas. For those interested in our findings and methodologies, the poster provides a comprehensive overview. You can see it or download it at: https://lnkd.in/dEmrU4gc #ComputerVision #Pathology #ArtificialIntelligence