We are proud to partner with Aligning Science Across Parkinson’s | ASAP on the newly launched ASAP CRN Cloud, a groundbreaking data-sharing platform available to the entire Parkinson’s Disease research community. Created in collaboration with The Michael J. Fox Foundation for Parkinson's Research, DNAstack and DataTecnica LLC, the tool includes a unique dataset of human postmortem-derived brain samples for analysis. ASAP CRN Cloud uses Verily Viewpoint Workbench, a collaborative environment where scientists worldwide can securely access, analyze and share multimodal Parkinson’s data, in order to advance understanding of the disease and accelerate research. Read the news: https://bit.ly/3KZpjiA #ParkinsonsDisease #ClinicalResearch #FindACure
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The Power of Genomics 🧬 Dive into the world of genomics and understand how it's transforming disease treatment and prevention. Embrace the power of genetic information! 👉 Explore more: https://loom.ly/dD61k3o #Genomics #LifeScience #HealthTech #highereducation #cloudsolutions #cloudtechnology #cloudsolution #lifesciences #lifescience #cloudinnovation #securityfeatures #governmentagencies #science #cloud #nzocloud #weathermodeling #futureishere
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I Can Help | Positive Problem-Solver | Scientific Approach | Eternal Student-Athlete | Kids First | Ex-Pro Hockey Player
I FOUND THE CLOUD! With everyone talking about THE cloud, I was wondering what that was. Turns out there a lot of stuff in that PUFFY shirt (Yes, a Seinfeld reference). Granted, some of these hieroglyph need deciphering. No worries, the Mass Spec community in Montreal has got your back. Q.: "But I don't know anything about MOPEDS" (oups, that's a Makelmore song). "But I don't know anything about Mass Spectrometers" A.: That's where we all started. I suggest you try your best shot at "MMSDG", or its French relative "GDSMM". Or head on over to: https://mmsdg.iric.ca/ See the upcoming speakers, and the past ones in ARCHIVES. Great timing, because one talk is coming up: Thursday January 18, 2023 Michael Schirm, Ph.D Director of the R&D Proteomics Group CellCarta "Mass Spectrometry-Based Clinical Proteomics: Applications in Cancer Research" ------------------------------------- Did I hear someone whisper... PIZZA? #preteomics #massspec #massspectrometry #cancerresearch #clinical
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We are happy to be in #Montreal this week at The Neuro (Montreal Neurological Institute-Hospital) for #SPM2023! Stop by and learn how we can enhance #efficiency, #optimize resource utilization, & boost your #research asset #ROI! 🚀 #corefacility #sharedresources #scientificplatforms #labops #researchops #SaaS
Scientific Platform Meeting 2023
https://cnsp-rcps.ca
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This recap of my first #SCOPEsummit includes ... well, just click the link, you'll see. 😁 https://lnkd.in/gqPS5xJU
Ramblings From A First-Time SCOPE Attendee
clinicalleader.com
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The dust has settled, and somehow RSNA 2023 is in the books. This was by far our most successful conference to date, and we were energized by the reception we received. Some highlights from us: A week ago tonight, we cohosted an intimate event with our partners at Centaur Labs for our customers and friends. This was an opportunity to say thank you to our valued community with some great food, drinks, and company. If you attended and helped to make it so successful, thank you! We also thought we'd take a moment to share some other insights and developments that we saw from the world of radiology AI that are shaping our future. AI: The New Mainstream in Radiology. AI's integration into daily practices isn't just a pipedream anymore, it is accelerating and is being used to enhance diagnostic precision and patient care. Foundational Models: The First Movers Hit the Market. The opening day of RSNA saw HOPPR launch "Grace", a multi-modal foundation model for medical imaging, with huge potential! We are proud to have played a role in providing the staggering quantity of data needed to train Grace (over a petabyte). As our our CEO Joshua Miller Miller wrote about in a recent opinion piece, we've been seeing more and more requests for foundational model-level datasets. The Persistent Challenge: Access to Large Datasets. Despite the advancements, one challenge remains: the need for quick and efficient access to large, unbiased datasets. The richness of data is crucial for the effectiveness of AI, yet accessing these vast datasets remains a hurdle for many in the field (spoiler, this is where we step in). Early Access to Our Subscription Service: An Invitation. Following promising feedback from our poll in last month's newsletter, we are launching early access to our subscription service. This initiative is designed to empower developers with direct access to our tools and datasets, streamlining workflows and expanding capabilities while giving you economies of scale. We 'soft launched' this model with a special offer at RSNA and we were so encouraged by the uptake that we thought we'd extend it. So if instant access to huge datasets via a subscription model sounds like it makes sense for you, book a meeting with our team and enjoy some early adopter savings! Until next time McCormick Place! #medicalimaging #rsna2023 #aiinmedicine | Ouwen Huang, PhD | Rod B. Greco | Lucas Alves
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More than 6,000 Rare Diseases have been identified. See below for how OM1 can help. #AI has the power to fill in gaps to identify patterns in databases. This core process can be used to identify mis- or underdiagnosed rare disease patients faster, shortening the time to diagnosis. Identifying patients in real-world data contexts can be difficult, especially when clinical coding is imprecise or unavailable. With OM1 PhenOM, alongside our Real-World Data Cloud, OM1 can provide powerful solutions to rare disease challenges. Interested in learning more about how OM1 can support rare disease research? Check out these links: Rare Disease Day: 📍https://lnkd.in/ddZ_DXFa PhenOM ebook: 📍 https://lnkd.in/dA8HrjAN Book a Meeting: 📍 https://lnkd.in/eJcKBAJK #RareDiseaseDay #RareDisease #ArtificialIntelligence #rwd #PatientIdentification
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More than 6,000 Rare Diseases have been identified. See below for how OM1 can help. AI has the power to fill in gaps to identify patterns in databases. This core process can be used to identify mis- or underdiagnosed rare disease patients faster, shortening the time to diagnosis. Identifying patients in real-world data contexts can be difficult, especially when clinical coding is imprecise or unavailable. With OM1 PhenOM™, alongside our Real-World Data Cloud, OM1 can provide powerful solutions to rare disease challenges. Interested in learning more about how OM1 improves research efficiency, finds under-diagnosed patients, and supports clinical decision-making in rare diseases.? Check out these links: PhenOM ebook: 📍 https://lnkd.in/dA8HrjAN Book a Meeting: 📍 https://lnkd.in/eJcKBAJK #RareDisease #ArtificialIntelligence #PatientIdentification
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Managing Director - Gallagher Life Sciences Practice | Insurance Broker & Life Sciences Risk Management Specialist
💰🌱 Announced yesterday: £16 million new funding to support access to world-leading biomedical database UK Biobank👏 Amazon Web Services (AWS) will provide around £8 million worth of cloud computing storage access, with their contribution unlocking a further £8 million in match-funding from the government. 🇬🇧🌍UK Biobank is the world’s most advanced source of data for health research, helping the #lifesciences sector to transform global #healthcare by supporting research that is being used to develop better outcomes for diseases like #Parkinsons, #dementia and #cancer. This new funding joins initial support last October from former Google CEO & Chairman Eric Schmidt and Citadel CEO Ken Griffin, which brings support to our ‘jewel in the crown’ resource to almost £50 million 💷 💷 💷 Read in full ➡️ https://lnkd.in/eG68qZPR
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Trillions of dollars of market cap runs exclusively on cloud-native software today. Why doesn’t radiology? For nearly two decades, Jeff Queisser helped lead the cloud software revolution as Co-Founder and EVP of Engineering at Box (NYSE: BOX), one of the pioneering cloud storage and security companies trusted by nearly two-thirds of Fortune 500 companies today. As an advisor, Jeff has helped Sirona build RadOS, the first cloud-native clinical platform in radiology’s history. More secure. More efficient. More reliable. Fundamentally future-proof. Hear from one of Silicon Valley’s luminaries on why all modern software has been “cloud-native” for over a decade, and why Sirona’s RadOS platform is radiology’s first future-proof foundation. Modernize your practice and take your clinical workflow to the next level with Sirona! Watch the full video here: https://hubs.la/Q02zNgzZ0 #FutureProof #RadOS #Radiology #AI #CloudRadiology #HealthTech #MedicalInnovation #CloudNative
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NEW BLOG: #NLM Library Operations is now the User Services and Collection Division! 👩💻 📚 Read more about how this reorganization unifies our collections, makes biomedical information accessible, and meets your evolving user needs. https://loom.ly/-ykFDTk
Unveiling a Milestone: Introducing the NLM User Services and Collection Division
http://nlmdirector.nlm.nih.gov
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