This year’s conference kicked off with an interesting Data Science panel that included Tanya Cashorali (TCB Analytics), Jerald Schindler (Alkermes), John Reynders (Alexion Pharmaceuticals), and Lihua Yu (H3 Biomedicine). Without a doubt, data science is important and involves much more than big data, including the entire workflow of data creation, to insight generation, and decision-making. One key message that came across is that not all data is big data, and that we need improvements in data collection and infrastructure support for data analysis and management. Other key take-home messages: breaking down data silos, educating about responsibility, being responsible to not act independently on data, creating an environment that motivates everybody within a team to share, not rewarding bad data behavior, and being insensitive to data sharing to get more out in return. The big issue here is the culture. If the culture rewards Continue reading
enlightenbio is excited to introduce our new “Company Spotlight” blog series where we will review some of the exciting work that is currently ongoing in up- and-coming companies. Moving forward we plan on reviewing and profiling some of these companies and their products on a regular basis.
At ASHG, I had a chance to meet with Peter Schols, CEO of Diploid, a small seven person company located in Leuven, Belgium. I took this opportunity to learn more about Diploid, and Moon, the software the company has built, and its intended application to help diagnose rare disease.
The following summarizes questions and answers from my dialogue with Peter Schols.
EB: Tell us more about Diploid – what need are you trying to address and what services do you offer?
PS: Diploid is a privately funded, rare disease diagnostics company founded in 2014. Diploid started with offering an interpretation service, helping our customers analyze rare disease sequence data. Customers send us NGS data of a patient together with a description of the phenotype, and we deliver a report listing the most likely candidate variants. We focus exclusively on rare disease testing and currently support the Continue reading
The 15th annual Bio-IT conference – with the theme “Building a global network for precision medicine by uniting the Bio-IT community” – clearly had as its underlying theme the many different aspects of data that need to be addressed to make precision medicine a true reality, as echoed throughout the many talks and discussions. This was reflected in both the keynotes, as well as the panel discussions that focused on data regulations, security, and getting patients to feel good about sharing their data. The first hackathon launched by Bio-IT World had the focus on FAIR [findable, accessible, interoperable, and reproducible] data. Many commercial announcements or recent advancements in artificial intelligence revolved around new and improved data analysis solutions. This year’s Best in Show award selections featured Starfish Storage’s Starfish V4, SciBite LaunchPad, SolveBio’s Operating System for Molecular Information, Dana Farber Cancer Institute / The Hyve’s MatchMiner v1.0, and Seven Bridges’ CAVATICA.
Coinciding with Bio-IT were a number of major announcements as listed below: Continue reading
In the life sciences, 2016 brought us many significant developments, and thank goodness, it’s mostly exciting and great to talk about those in length. I am talking here about technological advancements, the many new applications next-generation sequencing is seeing, genetics moving into the clinic, precision medicine finding its mark in oncology and beyond, immunotherapy establishing itself as the leading weapon to attack cancer, and more.
The significance of these developments is further manifested with clinical omics taking shape, hospitals adopting new applications, and testing and treatments that are based on next-generation sequencing, omics data, and more. The results speak a clear language: improved diagnostic tests, and more precise therapeutics.
Here a few highlights – not an all-inclusive summary – of what made 2016 so exciting.
Next-generation sequencing matures
In 2016, we’ve reached a stage where the limitations of next-generation sequencing is not at the level of sequence data generation anymore, rather the limitations are associated Continue reading
This year’s pilgrimage of geneticist, genomics scientists, and along with that commercial companies was to the JW Marriott in Orlando and not as usual to Marco Island – however, we were assured that the next two AGBT events are already confirmed to be held on Marco Island again. The Orlando Marriott setting seemed fine; nothing beats the Marco island environment with its beach setting which is well worth the extra hour bus ride from the airport to take you there. Having said this, the setting appeared to be more favorable for the vendors in particular, given the more open arrangement of large suites inviting easy access and interactions with conference attendees. Continue reading
Last week’s Bio-IT World Conference and Expo in Boston was attended by more than 3,000 scientists, members of the pharmaceutical industry, and subject matter experts to discuss latest requirements in data analysis, management, and storage, and in the context of all of that, cloud computing and data integration.
For me the conference started out with an excellent keynote session by Chris Sander from Memorial Sloan-Kettering Cancer Center discussing on how to deliver Precision Medicine in cancer while touching upon the fantastic insights into the molecular diversity of tumors as provided in the Cancer Genome Atlas. He finished up with describing the cBioPortal which organizes data for over 20,000 tumor samples from 89 cancer studies. Following Continue reading