Beaconcure developed an automated solution supported by ML for clinical data validation. It is designed to support regulatory submissions in drug development
We are very excited to be chosen to present ๐ง๐ต๐ฟ๐ฒ๐ฒ!!! different topics at the @PHUSETwitta US Connect 2022. The link to the first topic:
๐๐๐ง๐ ๐ ๐๐ก๐๐ก๐ ๐ข๐ ๐ง๐๐๐๐๐ฆ: ๐ง๐๐ ๐๐๐ฅ๐ฅ๐๐๐ฅ ๐๐ข๐ฅ ๐๐จ๐ง๐ข๐ ๐๐ง๐๐ข๐ก - by VP R&D @levf_orly
https://t.co/jhfY8vOqYH
We are expending!
We are looking for a ๐๐๐ง๐ข๐จ๐ซ ๐๐ซ๐จ๐๐ฎ๐๐ญ ๐๐๐ง๐๐ ๐๐ซ to join our talented product group led by Ilan Carmeli.
Apply here: https://t.co/AB61HlRRib
Beaconcure Announces Webinar Series on How Automation Can Play a Key Part in Accelerating Drug Approval https://t.co/LAh1gwLViq
@CraigLipset , @Yoranbar
We are pleased to announce LIVE WEBINAR SERIES on 'How Automation Plays a Key Part in Accelerating Drug Delivery Approval'.
Industry Executives Discuss Technologyโs Impact on Data Accuracy and Timelines in Clinical Trials.
Register here: https://t.co/QpThHCaHHb
We are constantly improving the capabilities of our product 'Verify' by adding new features and checks to the system. Our goal is to address the challenges that R&D teams are facing in handling #clinical#data while preparing a #regulatory#submission.
#https://lnkd.in/e_uKKk7Y
We are very excited to present a poster at the @PHUSETwitta CSS/@US_FDA conference on Sep 14th 2021. In the poster we will provide examples of checks (for consistency) done automatically within table, across tables and vs. LoT/ToC.
https://t.co/5x9gN6c6Fv
Beaconcure's technology focuses on validating statistical outputs and handling the clinical data in one of the most challenging steps in preparing for submission. For more information about our capabilities check the @Beaconcure1 website https://t.co/jCj14jZeV4
@Certara is acquiring @Pinnacle 21 for for $310 million. Congratulation @Pinnacle 21! Well done!!
This acquisition proves the value of validating clinical data accurately, using AI and ML.
Is there a way to perform cross-table checks quickly and consistently for all deliverables? Check the post below to find out how automation can greatly reduce the time and effort to perform across table checks.
https://t.co/Jo15QGoGgo
@Yoranbar @CraigLipset
Double programming is useful for individual tables, but it does not compare the output across tables. Another interesting read supporting the combination of the human factor and AI.
https://t.co/yw9tGdb9mj
@Yoranbar @CraigLipset@MS_15517472521@timjessell
What are the limitations of the 'statistical programming' validation process? How can machine learning overcome them?
The answers to these questions were presented and discussed at the PHUSE 2021 conference. The link to the presentation is right below:
https://t.co/z9MqN3DZST
In our session @ the Phuse 2021, Hugh Donovan spoke about the limitation of double programming. The conclusions were based on the results of a survey conducted by @Beaconcure1 and completed by 25 pharma companies and CROs. More about the findings contact us @ [email protected]
Beaconcure is thrilled to be selected for the upcoming cohort of Deloitte Launchpad- the first corporate program to support Israeli growth-stage startups to expand operations in the US https://t.co/OsV1pOJfwh
@DeloitteIsrael #CatalystTLV#DeloitteLaunchpad#Launchpad