Informatics

Teach Me in 10

In today's laboratory settings, one of the most significant challenges we face is effectively managing the immense volume of data both describing and generated by our operations. In this Teach Me in 10 session, we will delve into the realm of best practices for harnessing this data. Our goal is to empower you with the ability to identify anomalies and take proactive measures to enhance the overall efficiency and operation of your laboratory.

Traversing the Flood of Data in Today’s Digital Labs

CCDC

This is a presentation by Leen Kalash, from GSK, at the Materials Science Meeting 2021.
In this presentation she's presents the first global analysis of the GSK database of small molecule crystal structures.

Register for our next virtual meeting or webinar here: https://www.ccdc.cam.ac.uk/News/Events/

Materials Science Meeting: First global analysis of small molecule crystal structures - Leen Kalash

This is a presentation by Lev Sarkisov, from University of Manchester, at the Materials Science Meeting 2021.
In this presentation he presents his work on computational structure characterization tools for the era of material informatics.

Register for our upcoming virtual events and webinars here: https://www.ccdc.cam.ac.uk/News/Events/

Materials Science Meeting: Computational structure characterization tools for MI era - Lev Sarkisov

CloudLIMS

CloudLIMS, a SOC 2 compliant and ISO 9001:2015 certified informatics company, hosted a complimentary webinar to provide insights into the key elements of the ISO 15189 standard and how a healthcare LIMS software can help laboratories achieve and maintain the standard to elevate the quality and reliability of diagnostic processes. 

#LIMS #clinicaldiagnostics #ISO15189 #laboratories #ondemandwebinar #laboratorysoftware #compliance

On-Demand Webinar: Exploring the Benefits of LIMS & ISO 15189 Integration for Diagnostic Labs

Highlight key aspects of structures, like stereocentres, with CCDC's Mercury visualization software! In this short tutorial, learn to use labels to communicate key structural aspects and chemistry. 

With labels in Mercury, you can highlight stereocentres and edit label appearance so your images fit seamlessly into your presentations and other materials. The labels can also help you keep track of the atoms in a structure as you work with it, and they are great for highlighting key chemistry concepts in STEM teaching materials! All of the features used in this tutorial are available in the free and licenced versions of CCDC's Mercury. 

Learn more about Mercury, CCDC's crystal structure visualization, exploration, and analysis software. It offers a comprehensive range of components for 3D structure visualization, chemistry education, the exploration of crystal packing, and the statistical analysis of structures in the Cambridge Structural Database (CSD):  https://www.ccdc.cam.ac.uk/solutions/csd-core/components/mercury/

Follow us on social media: 
Instagram: @ccdc_cambridge, https://www.instagram.com/ccdc_cambridge/
Twitter: @ccdc_cambridge, https://twitter.com/ccdc_cambridge
Facebook: Cambridge Crystallographic Data Centre (CCDC), https://www.facebook.com/ccdc.cambridge/

The CSD refcodes of structures shown in this video: GALVUK, THALID03, OGUSIV, FURMOW

How To: Label Atoms and Stereocentres in Mercury

Rawcubes

Experience the seamless integration of workflows, predictive maintenance, ensure smooth machine operations with iDataOps, our advanced machine monitoring software.

Stay ahead of the competition with Rawcubes.

Learn more about iDataOps here - https://lnkd.in/dg2h5gjP

#smartmanufacturing#machinemonitoring#machinemaintenance

Machine Monitoring Software

Aging (Aging-US)

Aging-US published this research paper on June 13, 2023, in Volume 15, Issue 11, entitled, “Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery" by researchers from Insilico Medicine, Pak Shek Kok, New Territories, Hong Kong; Insilico Medicine, Masdar City, United Arab Emirates; Insilico Medicine, Shanghai, China.

DOI - https://doi.org/10.18632/aging.204788

Corresponding author - Alex Zhavoronkov - alex@insilico.com

Abstract

Aging is a complex and multifactorial process that increases the risk of various age-related diseases and there are many aging clocks that can accurately predict chronological age, mortality, and health status. These clocks are disconnected and are rarely fit for therapeutic target discovery. In this study, we propose a novel approach to multimodal aging clock we call Precious1GPT utilizing methylation and transcriptomic data for interpretable age prediction and target discovery developed using a transformer-based model and transfer learning for case-control classification. While the accuracy of the multimodal transformer is lower within each individual data type compared to the state of art specialized aging clocks based on methylation or transcriptomic data separately it may have higher practical utility for target discovery. This method provides the ability to discover novel therapeutic targets that hypothetically may be able to reverse or accelerate biological age providing a pathway for therapeutic drug discovery and validation using the aging clock. In addition, we provide a list of promising targets annotated using the PandaOmics industrial target discovery platform.

Sign up for free Altmetric alerts about this article - 
https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204788

Subscribe for free publication alerts from Aging - https://www.aging-us.com/subscribe-to-toc-alerts

Keywords - aging, transformers, deep learning, therapeutic target discovery, aging biomarkers, human aging

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at https://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/@AgingJournal
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Multimodal Transfer Learning for Aging Clock Development and Disease Target Discovery

Shimadzu Analytical & Measuring

Laboratory work is hard. Incompatible workflows, clunky data integrity processes, and training staff on disparate instrument interfaces makes things worse. What if you had access to a single software platform that provided authentication, audit trails, electronic signatures, and data management for all the instrumentation in your lab? What if that platform also offered direct control of nearly every instrument as well? With LabSolutions, Shimadzu has removed operational and organizational friction with different software packages so your staff can focus on science and accelerate your discoveries.

Gain confidence in your data integrity, build confidentiality, and increase your data’s availability all while streamlining your efficiency, improving audit trails and compliance, and accelerating your discoveries with LabSolutions.

Integrate Everything with LabSolutions Software

Watch our on-demand webinar on ISO 20387 accreditation and learn how biobanks can achieve it with ease using a biospecimen management software. 

#webinar #biobankingwebinar #ISO20387 #biospecimenmanagement

Informatics

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