Oncology

PET Immune Imaging in Drug Development, from Bench to Bedside Application, with Decision Making Capabilities

Imaging Lessons from the VISION Trial

Multi-purpose in vivo Imaging in Intracranial Tumor Models to Support Clinical Translation in Neuro-oncology

The Use of Radiation Dosimetry to Optimize Radiopharmaceutical Therapy

ADVANCED METRICS AND MODELING WITH VOLUMETRIC CT FOR PRECISION ANALYSIS OF CLINICAL TRIAL RESULTS

The Resurgence of Theranostics: Challenges and Successes of Clinical Application

The Evolution of Lymphoma-Based Oncology Response Criteria

Explorer as a Transformational Imaging Technology for Drug Development

Translating Radiolabeled Biologics – Strategies for Successful IND Submission

Segmentation of Lesions in Whole-Body PET/CT Using Deep Learning

Utilizing Imaging Agent Biomarkers for Improved Patient Management – Challenges and Successes

Panel Discussion - PSMA: Imaging Biomarker Development

The Changing Landscape of Response Assessment in Oncology

Next Generation Tissue Biomarker Assays to Advance Clinical Drug Development Applications

Optimization of a Novel Tissue Test to Visualize and Quantify Membrane PSMA Expression in Prostate Cancer

Obtaining High Quality Imaging Data from Clinical Trials

Uncovering New Biological Insights Using Advanced Pathology Image Analysis Tools

What’s New in iPACS and VivoQuant With an Eye on the Future

Image Acquisition is Easy; Constructing Data Analysis Workflows that Work for you is the Challenging and Critical Part

Applications of Machine Learning in Medical Image Analysis

Chemistry External Manufacturing and Network Management

The Digital Biomarker Revolution: How Large-Scale, Clinical-Grade AI Enables Novel CDXs from Histopathology

Translational Aspects of Intrathecal Drug Administration

Imaging Biomarkers in Metastatic Prostate Cancer

Imaging in Immuno-Oncology

Machine Learning & Deep Learning for Image Processing Applications

How MRI is Helping to De-risk Drug Development

In Vivo and Tissue Molecular Imaging in Gene Therapy

Molecular Imaging and Alpha-Radiopharmaceutical Therapy

Central Nervous System

Neuroimaging and Psychedelics

Roundtable Discussion: The Role of Parkinson’s Disease Biomarkers in Drug Development Clinical Trials

New Outcomes, Old Measures; New Measures, Old Outcomes: Integrative Strategies for Optimizing Biomarkers in Clinical Trials of Neurodegenerative Disease

Imaging Mitochondrial-ER-Synapse Dysfunction in Neurodegeneration – The MIND MAPS Programme

Deep Quantitative Super-resolution for Integrative Studies of Neurodegenerative Disease

EXPLORER as a Transformational Imaging Technology for Drug Development

Molecular Imaging in Neurodegenerative Disorders: Developing a Translational Toolbox

Wherefore art Tau? Developing Methods for the Qualitative Interpretation of Tau PET

The IQ Analytics Platform: Amyloid-IQ, Tau-IQ, and Dat-IQ

What’s New in iPACS and VivoQuant With an Eye on the Future

Chemistry External Manufacturing and Network Management

What Can We Learn From Primary Age-Related Tauopathy (PART)

Image Acquisition is Easy; Constructing Data Analysis Workflows that Work for you is the Challenging and Critical Part

Applications of Machine Learning in Medical Image Analysis

Advanced Imaging Biomarkers in Alzheimer's Disease

Obtaining High Quality Imaging Data from Clinical Trials

Translational Aspects of Intrathecal Drug Administration

Machine Learning & Deep Learning for Image Processing Applications

Imaging Biomarkers for Measuring Pharmacodynamic Effects of CNS Drugs

How MRI is Helping to De-risk Drug Development

In Vivo and Tissue Molecular Imaging in Gene Therapy

Molecular & Functional Imaging in Early Phase Drug Development

AmyloidIQ – An algorithm to increase power in clinical trials and automate radiological reads

Other Therapeutic Areas

EXPLORER as a Transformational Imaging Technology for Drug Development

What’s New in iPACS and VivoQuant With an Eye on the Future

Image Acquisition is Easy; Constructing Data Analysis Workflows that Work for you is the Challenging and Critical Part

Applications of Machine Learning in Medical Image Analysis

Obtaining High Quality Imaging Data from Clinical Trials

Imaging Biomarkers in NASH Drug Development

Machine Learning & Deep Learning for Image Processing Applications

How MRI is Helping to De-risk Drug Development