🚀 Join Us at Experience AI in Botha-Bothe! 🌟 Don't miss the chance to meet Dr John Batani Batani, our keynote speaker, at the Experience AI Event on 23rd November 2024 at Crocodile Inn Hotel, Botha-Bothe. Dr John Batani brings a wealth of knowledge as a researcher, academic, and AI enthusiast. Get ready to be inspired as he shares his expertise on machine learning, health informatics, and how emerging technologies are transforming lives. #ExperienceAI #ArtificialIntelligence #TechInLesotho
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Coordinator for Latin America and the Caribbean in Artificial Intelligence for Global Health at TGHN, Oxford University| Research assistant for Instituto Antonio Vidal | IMG 2025 Match Applicant. AAMC ID 16389390 |
Leverage research with innovative tools.
🚀 Exciting Development at UASD! Our home institution, Universidad Autónoma de Santo Domingo, has created a brand-new International Diploma in Artificial Intelligence Applied to Research!🌐 This is a 10-credit program that combines the best of both worlds offering in-person keynote lectures and virtual classes to offer participants advanced knowledge in using AI within research. From health sciences to social sciences and engineering, whatever field it maybe this diploma is designed to empower researchers across disciplines to harness AI for groundbreaking insights. Stay tuned for more updates on this innovative program and how it’s set to transform the future of research at Universidad Autónoma de Santo Domingo! #AIinResearch
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💭 Which is the role of #Informatics scientists in the effective and responsible integration of #AI into education and professional practice? At this year’s workshop by Informatics Europe's National Informatics Associations, key discussions centered on AI's transformative role in #education and #professional practices, including Informatics research evaluation. 🚀 What’s next? 🔹A task force is being set up to collect best practices and formulate recommendations in assessing the use of AI in Informatics education. 🔹A revised Research Evaluation Report to be published in early 2025, aligning its recommendations with other recent documents and analysing four topical areas of concern in Informatics - the responsible use of bibliometrics and credit assignment in contributions, assessing artefacts, Open Science, and interdisciplinary research - together with a discussion on the role of AI in research evaluation. More details: https://lnkd.in/e3rgvRvv
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Professional Microbiologist | Pharmaceutical Microbiology | Quality Control | GLP | GMP & Quality Compliance
I'm delighted to share that I have successfully completed the online training on the Role of Artificial Intelligence (AI) in Microbiology Careers organized by Science and Technology Online. In this workshop, I have come across the fascinating intersection of AI and microbiology, uncovering promising opportunities for innovation in our field. In addition, I gained valuable insights into how AI is shaping the future of microbiology careers, from enhancing research methodologies to streamlining processes. Special thanks to Mr. Ghazanfar Abbas (CEO of Science and Technology Online) for organizing such an informative and valuable e-learning workshop. #AIinMicrobiology #MicrobiologyCareers #InnovationInScience #ArtificialIntelligence #ScienceAndTechnology #LearningAndDevelopment #FutureOfWork #ProfessionalDevelopment
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Congratulations to Prof. Ajith Abraham (Pro Vice-Chancellor #BennettUniversity), Dr. Yajnaseni Dash (Assistant Professor, #scsetbennett), Vijay Bhargav, and Yash Kanani (MCA #scsetbennett students of Batch 2023-2025) for acceptance of the #conference paper “HealthTech Horizons - Promoting Sustainable Healthcare in Developing Nations” for #publication in 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA’23). This paper provides in-depth Sustainable Healthcare in developing nations. The factors and challenges associated with using machine learning techniques in developing country healthcare systems are examined in this case study. An analysis of the issues that the healthcare sector experienced before the introduction of Artificial Intelligence (AI) and Machine Learning (ML) is discussed. This paper also, discusses why it is essential to use these strategies in the development of modern healthcare solutions for developing nations. #bennettuniversity #ai #research #ml #healthcare
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Understanding causality is essential for advancing science. A recent paper introduced an algorithm that maps causal relationships in complex systems, uncovering unique, synergistic, or redundant interactions between multiple variables. https://lnkd.in/gCExnbt5 While the paper contributes with an approach to dealing with multiple variables rather than the traditional pairwise, it relies on correlation based on Shannon entropy only. The world of science is barely catching up with perturbation analysis as introduced in the 1980s to advance the field of causality but it still relies on statistical tools developed in the 1940s. This paper makes some progress dealing with more complex systems that depend on multiple variables that can be combined with other model-driven approaches. Algocyte®, developed by Oxford Immune Algorithmics, is a set of AI causal-driven solutions that enable remote digital endpoints in healthcare pathways to understand health and disease. Algocyte® monitors key and complex common blood markers that keep us healthy advancing predictive medicine that will change sick population-wide care to precision personalised healthcare. Oxford Immune Algorithmics is a University of Oxford deep-tech start-up associated to Cambridge University and King's College London that applies Artificial General Intelligence (hybrid causal predictive & generative AI) based on symbolic regression and program synthesis to deliver decentralized mission-driven solutions to everyone today. #HealthcareInnovation #EarlyDetection #biotechnology #biotech #biology #science #PrecisionMedicine #DigitalHealth #PreventativeCare #AGI #AI #artificialintelilgence #precisionhealthcare #predictivemedicine #Causality
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Wonder why developing and deploying medical AI has become part of my medical research? Listen to Mikkel Werling presenting the data perspective on our research!
How Can Data Science Revolutionize Healthcare? 💉🔬 Meet 2023 DDSA PhD Fellow Mikkel Werling from Aalborg Universitet, who is researching how to improve health AI's prediction accuracy to enhance diagnostic and prognostic capabilities 📈 In recent years, artificial intelligence has shown remarkable progress in computer vision and natural language processing, but the same cannot be said for health predictive models. Health algorithms often face challenges, such as low prediction accuracy and limited generalizability beyond their training data. These issues arise due to the scarcity of data and the lack of diverse data sources in the health domain. In his research, he concentrates on chronic lymphocytic leukaemia (CLL) and introduces a novel meta-learning framework capable of handling multiple data types and outcomes. By collaborating internationally and combining data from related diseases, he aims to significantly enhance prediction accuracy and the model's ability to generalise. Mikkel holds a master’s degree in #cognitivescience from Aarhus Universitet. He believes that a strong Data Science Community in Denmark is essential as our most pressing problems are too big to face alone, and it facilitates mutual learning from each other. Interested in learning more? Watch the video below 👇 A big thank you to Novo Nordisk Foundation and Villum Fonden # VELUX FONDEN for making this opportunity possible and #GrowingDanishDataScience! 🚀 #ClinicalDataScience #DataScienceInHealthcare
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I am honored to join the Editorial Board of Scientific Data (Nature)📊. This opportunity allows me to actively contribute to advancing open science, promoting high-quality scientific data, and exploring the intersection of AI and data-driven research 🔍. A big thank you to the Scientific Data team for welcoming me. Ready to embark on this new journey 🚀! Learn more about the journal at Scientific Data https://lnkd.in/dsCtzrDQ. #ScientificData #EditorialBoard #OpenScience #FAIRData #DataScience #AI #MachineLearning #ScientificResearch #Innovation #Nature #BigData
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Are you interested in #AI & #lifesciences? Don’t miss the ASSOCIATION BIOTECHNOCENTRE’s "AI in Life Sciences and Health: What Results, What Perspectives?" virtual day! AI has long been a vital tool in life sciences and health. Biotechnocentre’s webinar aims to explore the current advancements of AI through concrete examples in animal and plant biosciences, highlighted by human sciences reflections, challenges, and future opportunities. Their goal is to foster collaborative projects and contribute to the dynamic landscape of the Centre Val de Loire Region. We are excited to announce that Nadège Grabowski PhD. (She / Her) (Synthetic Biology Practice Lead) will present on "AI at the Service of the Health of Our Forests – State of the Art and Future Opportunities." We invite everyone to join this webinar to discover the latest AI applications in biosciences, learn from leading experts in the field, and engage in thought-provoking discussions on the ethical and social impacts of AI. ⏰ Date: June 21, 09:00 - 17:00. Virtual meeting For more details and to register, visit: <Link in the first comment> We look forward to connecting with you during this event. Together, let’s delve into the transformative potential of AI in life sciences and health! #AI #LifeSciences #HealthTech
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And now, to conclude the introduction of our speakers, we need to introduce our opening keynote speaker, Elli Valla⚡️ Elli Valla, a PhD candidate in Computer Science at TalTech, specializes in using machine learning and smart devices to develop predictive models for early detection of neurodegenerative conditions and mental fatigue, particularly in Parkinson's patients. Dedicated to advancing applied AI in healthcare, Elli aims to leverage technology to address significant challenges in the field. In her opening keynote, Elli Valla explores AI's transformative impact in healthcare and beyond, showcasing research from TalTech on machine learning's role in enhancing diagnostics for conditions like Parkinson’s. She discusses broader AI applications, addressing challenges such as interpretability and bias in training for fair outcomes, aiming to broaden perspectives on AI's potential across sectors. Read more about the program: https://lnkd.in/dh3VeQ-p 📅June 5th – 7th, 2024 📍Tallinn, Estonia 🎫: https://lnkd.in/d_SzR88e
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