Streamlining Clinical Trials with IAG’s Proprietary Cloud Platofrm, DYNAMIKA
Data is your evidence of drug efficacy. It is the ‘must have’ of your clinical development program.
Imaging data is a rich source of information of objective response and early evidence of efficacy. It reveals different dimensions of your drug’s MoA.
…and you can literally SEE your patients’ response.
The power of imaging-based evidence is hidden under a pile of inefficiencies associated with its collection and the screaming absence of quantitative approaches to explain its value.
Watch this webinar to discuss how to streamline imaging clinical trials and accelerate drug efficacy decisions.
PART 1: MODERN TRIAL INFRASTRUCTURE: STREAMLINING TRIAL OPERATIONS
password: IAG2020
Key Discussion Points:
- DYNAMIKA in a global multi-centre trial setting
- AI-powered controls over your data quality
- Insight into the advanced data analytics
PART 2: DYNAMIKA & QUANTITATIVE IMAGE ANALYSIS LIBRARIES
password: IAG2020
Key Discussion Points:
- Advanced quantitative approaches
- Radiomics, AI and Machine Learning for assessment of treatment response
- Making efficacy decisions in clinical trials
The webinars will presented by IAG’s leadership team and project managers and scientists.
At IAG, we developed DYNAMIKA to help bio-pharma innovators turning the page and steping into the new era of efficiencies and objective evidence.
IAG has been driving the use of quantitative imaging as an early evidence for drug development for over a decade.
DYNAMIKA is our platform that brings together smart image analysis methodologies, AI and Machine Learning to ensure speed and cost-effectiveness, while delivering true insights about your mechanism of action and patients’ response, in real-time.
About the Speakers:
Dr. Olga Kubassova, CEO of IAG, Image Analysis Group. She is a mathematician, computer scientist and entrepreneur, playing a significant role in the development and use of medical imaging in clinical research and diagnosis.
Dr. Jamshid Dehmeshki, CTO of IAG, has over 20 years of experience in medical image analysis particularly in developing computer aided diagnosis systems. He is AI expert who tool products from conception to FDA approval.
Questions or need help registering, please email <imaging.experts@ia-grp.com>