Artificial intelligence (AI) is rapidly transforming how scientific research is conducted, from accelerating model development to uncovering novel drug discovery pathways. However, with every promise comes complexity — and the need for critical evaluation.
This webinar brings together perspectives from neuroscience, software development and academia to explore how AI is trained (supervised vs. unsupervised learning), where it excels and where its limitations lie. The featured speakers will examine real-world applications in preclinical and translational research, highlight potential pitfalls that can compromise results and discuss strategies for integrating AI tools effectively and responsibly.
Drawing on extensive experience in translational neuroscience, the conversation will focus on how AI can help create more predictive models, reduce the gap between laboratory findings and clinical outcomes and ultimately accelerate the development of safer, more effective therapies.
Register for this webinar to learn how AI in scientific research is influencing translational practices and improving therapeutic development.
Speakers
Dr. John Huxter, PhD, Associate Director and Global Head of Rodent Electrophysiology and Data Science, Transpharmation
Dr. John Huxter, PhD, is a neuroscience expert specializing in electrophysiology, behavioural assay development and analysis automation. He leads Transpharmation’s global preclinical EEG and big-data efforts, applying innovative approaches to advance research in neurodegeneration, psychiatric disorders, epilepsy and chronic pain. With a career spanning both academia and industry, Dr. Huxter holds deep expertise in neuroscience and is working to integrate new artificial intelligence systems to accelerate drug discovery and model development.
Message Presenter
Dr. Na Helian, PhD, Associate Professor in Research, University of Hertfordshire
Dr. Na Helian has 30 years of research experience around the UK, Singapore, Japan and China in data mining, grid computing, data storage, etc. She has 62 journal papers (including 16 in IEEE Transactions) and 54 conference proceeding papers published in the above areas. Her research background on data storage contributed to the following research funding: EPSRC project (GR/S96487): Grid-Oriented Storage (GOS): Next Generation Data Storage System Architecture for the Grid Computing Era, £ 346,301, plus £ 381,930 by DTI (Department of Trade and Industry)/Xyratex.
Over the past few years, Dr. Na Helian’s research has been focused on data mining. She has been working on various industry collaboration projects, including six KTP, one KEEP+, one HKEP projects, as well as a few contract research projects and University Enterprise Zone Technical Consultancy and Meet Expert projects. Since March 2017, she has attracted over £2 million in funding.
Message Presenter
Dr. Winthrop Gillis, PhD, Scientific consultant, Self-employed
Dr. Winthrop Gillis received a PhD from the Program in Neuroscience at Harvard Medical School where he studied how the basal ganglia organizes animal behavior through real-time behavior detection and brain manipulations. Before that, Winthrop was a research technician at Boston University, where he developed microscopic nerve cuff electrode arrays to record and stimulate peripheral nerves. Read more about him on his website: https://wingillis.github.io/cv/.
Message PresenterWho Should Attend?
This webinar will appeal to professionals in biotech and pharma, especially those engaged in CNS research and drug discovery, including:
- Neuroscientists
- Preclinical and Translational Researchers
- AI and Data Science Specialists in R&D
- Academic and Research Scientists
What You Will Learn
Attendees will
- Analyze supervised and unsupervised learning approaches in AI model training
- Examine case examples of AI applications in preclinical research and drug discovery
- Identify methodological and data-related limitations affecting AI reliability
- Discuss strategies to enhance translational relevance through AI integration
Xtalks Partner
Transpharmation Ltd
Transpharmation Ltd is a contract research organisation led by scientists. Recognised by drug developers worldwide for researching and delivering life-changing medicines, science will always remain our passion. We specialise in cross-species and cross-therapeutic areas in translational pharmacology with AAALAC accreditation.
Our breadth of neuroscience expertise means clients are able to benchmark their compounds against clinical gold standards in well validated behavioural and molecular assays and includes PK & non-GLP safety, Pain, Epilepsy, Depression & Anxiety, EEG, Aging, Neurodegenerative Disorders, Biomarkers, Cognitive Disorders and more…
We are committed to on-time data delivery and flexibility whether for gold standard models to innovative customized platforms, our research services deliver the critical pieces of information needed to realize the full potential of your preclinical assets
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