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Podcasts

Advancing Life Sciences Research: Accelerating innovation in the age of cloud
For decades, high-performance computing (HPC) has played a crucial role in advancing healthcare. Enabled by techniques like next-generation sequencing (NGS), modern computer systems have helped us understand the biology of disease and helped facilitate the development of newer more effective drugs. While once deployed mainly in research, today HPC is edging ever closer to front-line clinical care supporting advanced diagnostics, genetic counseling, and personalized medicine.
The Spotlight on IRT: Best Practices
Mid-study protocol changes. Regulatory audit demands. Challenging technology integrations…Sound familiar? Today’s clinical trials are certainly more complex and demanding, and ensuring safety while saving time and money is something everyone wants. Too often in clinical development, we get caught up in our own processes and forget that there’s other ways to approach a problem. We know the struggles you have in the Interactive Response Technology (IRT) world and we want to help! Here at Almac Clinical Technologies, we are in a unique position to share some of the best practices we’ve seen from our wide and diverse client base. Join Matt Lowrie, your host for each episode of the Spotlight on IRT podcast, where he will answer your questions, discuss common pain points, and talk to industry leaders to help you drive efficiencies and prevent unnecessary risks. Find us on iTunes, Google Play or wherever else you listen!
Harnessing the power of Big Data and AI for faster, better, and more efficient studies
As more patients become connected, there’s a new data source that can help us understand and engage patients-- data collected passively through wearables, devices, apps and sensors. Envision being able to gather minute-level data directly from patients, monitor adherence to a protocol outside of brick and mortar walls, and enroll patients into a study within 24 hours -- all of these scenarios are possible in the digital era of medicine.
Accelerate Real World Evidence: Leveraging Data for Faster Time to Insight
Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy and value of their drugs and medical devices.
Strategic Challenges in the Bio IT Infrastructure Landscape
Genomics analyses have become much more affordable over the recent years. Creating a growth that makes the Life Science market projected to be worth 20 Billion US Dollars by 2020. In fact, research centers and hospitals specialized in the fields of Bio IT, Sequencing and other Life Sciences have acquired the latest technologies for their applications. As the demand for genomics analyses grows, these organizations are constantly creating new and more digital information. Therefore, IT managers are confronted with the impact of Big Data and must improve their IT infrastructure to respond to the needs of their workflows. Mr. Steven Rietveld, of NODEUM, will introduce this market and its related challenges during this podcast.
Genomic Medicine: Bioinformatics, Whole Genomes and the Future of the Field
Listen to a new speaker podcast with Dr. Liz Worthey of HudsonAlpha Institute for Biotechnology, as she discusses recent advances in informatics as they pertain to genomic medicine, the importance of focusing on whole genomes for clinical purposes rather than just exomes or gene panels, and how to move the field of genomic medicine ahead.
Cost effective bioinformatics solutions for high volume bacterial strain typing & quantification
As demand for NGS grows in research organizations, so does the need to store, manage and analyze NGS data. Historically this has been accomplished with complex hardware and software infrastructures — which generate challenges for maintenance, cost and turn-around-time, and user-friendliness. Our goal is to give full control of NGS data back to our customers, enabling you to focus on science. This is why we created the High Volume Sequencing Solution, a software platform that provides full control over your data processing for any data volume. During this podcast, QIAGEN Bioinformatics and Mads Bennedsen from Christian Hansen discuss Building an Automated High Throughput Genome Sequence Analysis Pipeline using CLC Genomic Workbench and CLC Genomics Server.
Discover the Next Generation Sequencing (NGS) Pipeline Using Genome Trax™
Listen and Learn:
Meeting Today’s Challenges in Clinical Trial Supply Management
This podcast provides two perspectives on how clinical trial management systems (CTMS) are evolving to meet the needs of sponsors and CROs in today’s virtual, outsourced environment. The presenters provide their view on the key elements of a CTMS that can help sponsors be more effective outsourcers:
Sites and Sponsors: Mending Bridges over Troubled Waters
This podcast brings together two industry leaders to focus on the issues that divide sponsors and sites. On the one hand sites and sponsors unite in advancing better health care through a common passion for developing better drugs. Yet some issues divide them and bridges need to be built or mended to advance the highest levels of cooperation, coordination and success in clinical trials. Listen as the key issues are debated from the site and sponsor side and new methods and technology are advanced that offer near-term and lasting solutions.
Big Science, Biomedicine, & Cyberinfrastructure
The exponential decline in the cost of next generation sequencing is making it possible to discover rare genetic variants that explain uncommon childhood diseases and cancer. To detect these rare variants requires the aggregation and analysis of genomics and clinical data at scale. Consequently the need to manage and to compute biomedical data at scale is driving the dramatic rethinking and re-architecting of IT infrastructures. To jump start its rethinking, the biomedical research community has an opportunity to take advantage of the US national cyberinfrastructure, a resource heavily leveraged by the high energy physics, astronomy, and climatology disciplines. During this podcast, EMC Isilon and Ian T. Foster from the Computation Institute discuss the opportunities for using the US cyberinfrastructure for biomedical research.
Using a Unified Cloud-Based Platform for Clinical Research
Clinical trial sponsors conduct thousands of clinical trials annually, across more that an dozen therapeutic areas, multiple geographies, and hundreds of thousands of patients. With the increasing pressure to get high quality data, from a breadth of sources, and in turn, drive better, more effective treatments, sponsors are looking for every advantage in building, setting up, and executing their clinical trials. Many are looking to the cloud to help.
Advancing Big Science with Chris Dagdigian
What are the biggest life sciences infrastructure challenges of 2016-17?

For more information contact Angela Parsons or 781-972-5467