Advancing ADC Development: Leveraging AI and Translational Preclinical Models to Improve Clinical Predictability
Join our webinar to discover how to de-risk ADC development through the integration of AI-driven analytics, mouse clinical trials and specialized translational models.
Precision in Human Biological Samples: Leveraging Regulatory Rigor and Deep Data for Advanced Disease Research
In this webinar, experts explore how high-quality biospecimens, longitudinal data, and regulatory rigor drive the future of biomarker discovery and clinical diagnostics.
Combination Therapy for Glioblastoma: A Personalized, AI-Driven Approach
Discover how AI-driven models and patient-derived xenografts are advancing personalized combination therapies for glioblastoma.
Artificial Intelligence in Preclinical Research: Pathology, Biospecimens, and Model Selection
Learn how AI is advancing preclinical research through quantitative pathology, curated biospecimen data, and intelligent tumor model selection in this expert-led webinar.
Integrating Functionalized Multi-omics in Oncology Drug Discovery
Discover how cutting-edge multi-omics approaches and Generative AI are reshaping oncology drug discovery.
Leveraging Genomic, Preclinical, and Drug Response Data in the Age of AI
Join Dr. Michael Boice from Certis Oncology for a discussion and demonstration of how artificial intelligence can improve preclinical decision-making in cancer research.
High-Resolution Intravital In Vivo Imaging with AI-Powered Image Denoising
In this webinar, experts Young-Gyu Yoon, PhD and Pilhan Kim, PhD discuss cutting-edge advancements in microscopy imaging and denoising technologies.
Towards Eliminating Small Molecule Toxicity: Axiom’s AI Models for Clinical Safety Assessment
Join Axiom’s webinar to explore how AI/ML enhances clinical toxicity assessments, delivering accurate, cost-effective DILI risk predictions at human exposure levels.
The Role of Advanced De-Identification in AI-Driven Healthcare
In this webinar, learn how advanced de-identification techniques can protect patient privacy while unlocking AI's full potential in healthcare innovation.
Bringing Oncology Intelligence to Early Drug Development With AI-Powered Response Predictions
In this webinar, learn how AI technologies can accelerate oncology drug discovery and enhance the success of anti-cancer agents.
Scientist.com 2024 AI Innovation Series
Join our AI innovation Series to explore the 'hows' and 'whys' of language models and their implications on driving research advancements.
Partnering with Disease Registries: The Value and Impact for Real-World Evidence Generation
In this webinar, Evidera experts present guidance on why strong connections with registry groups and stakeholder populations are important for generating relevant real-world evidence to advance treatments.
#ExpertAnswers: Fan Wu and Lidor Spivak on Electrophysiological Data Analysis using Artificial Intelligence
Fan Wu and Lidor Spivak discuss automating electrophysiological data analysis using artificial intelligence and introduced a new cloud-based platform applying these methods.
Towards Automated Spikesorting using Artificial Intelligence on a Cloud-Based Platform
Dr. Fan Wu and Lidor Spivak answer questions from their webinar on the automation of electrophysiological data analysis using artificial intelligence.
Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials
Watch a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data.
Towards Automated Spikesorting using Artificial Intelligence on a Cloud-Based Platform
In this webinar, Dr. Fan Wu and Lidor Spivak discuss the use of artificial intelligence to automate electrophysiological data analysis, including a new cloud-based software platform.
Cutting Edge Conversations: Addressing Orphan and Rare Diseases
Joseph Zabinski, PhD, MEM, and Jonathan Kish, PhD, MPH, discuss how research groups are working in the realm of orphan and rare diseases.
The Value of a Multi-Source Real-World Data Strategy: How to Overcome Gaps and Limitations
Syapse experts share how to establish high quality, real-world datasets by using a multi-source strategy. A single source of data is often not enough to generate meaningful real-world evidence.
