Tag Archives: Amazon

Bio-IT World Conference 2018 – Data Science Has Replaced Bioinformatics

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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 →

Diploid Tackles the Challenges of Rare Disease Diagnostics

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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 →

AHSG 2017 Roundup – A Shout Out to the Women in Science

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This year’s ASHG conference in Orlando was kicked off with an inspiring plenary talk by the ASHG President Dr. Nancy Cox, celebrating diversity, inviting refugees to join the human genetics research mission, and longing for the day when contributions by female scientists will be as valued and as acknowledged as those of men. She concluded with highlighting contributions of women to genetics and science thus far, and by sharing her desire that the future will have a more positive outlook in this regard.

This powerful opening talk was followed by a presentation by Bill Gates and a conversation between Bill Gates and Dr. Francis Collins on global health and genomics. Gates highlighted different projects the Bill & Melinda Gates Foundation had been Continue reading →

Bio-IT 2017 – Data Security, Data Sharing, Data Access, Data Integration, Data …

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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 →

Can 2017 top 2016?

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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.

2016

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 →

ASHG 2013 delivered a mix of worthy news and acquisitions

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ASHGLast week the world of human geneticists met in Boston for their annual conference to meet and engage with other scientists, to share their latest findings, or to learn about new products and how they can make their life a lot easier. Here are BostonSkylightssome of the major announcements from the ASHG conference that are worth mentioning:

• Personalis Launches the ACE Clinical Exome™: Personalis, a provider of whole genome and exome sequencing and data interpretation services launched early access to their single test ACE Clinical Exome program, which integrates exome sequencing with genome-wide structural variant detection. The early access program will provide clinical reports with a turnaround time of 8 to 12 weeks. The full service is expected to launch in Q1 of 2014.

Continue reading →