https://community.databricks.com/t5/announcements/accelerating-the-scientific-ai-revolution/m-p/70050#M106 <H1 data-css-zbsaqn="" data-name="Dearborn-Text"><FONT size="4">TetraScience and Databricks Join Forces To Transform Scientific Research, Development, Manufacturing, and Quality Control in Life Sciences</FONT></H1> <P><STRONG>BOSTON &amp; SAN FRANCISCO, May 20th, 2024</STRONG><SPAN>&nbsp;</SPAN>-<SPAN>&nbsp;</SPAN><A href="https://www.tetrascience.com/" rel="nofollow noopener noreferrer" target="_blank">TetraScience</A><SPAN>&nbsp;</SPAN>and<SPAN>&nbsp;</SPAN><A href="https://www.databricks.com/" rel="nofollow noopener noreferrer" target="_blank">Databricks</A><SPAN>&nbsp;</SPAN>today announced a strategic partnership dedicated to helping life sciences organizations harness Scientific AI to bring more effective and safer therapies to market faster and less expensively.</P> <P>The life sciences industry is racing to unlock data intelligence and harness the value of AI. Companies want to use their massive data sets and ever-cheaper computational resources but are blocked by more than 10 million silos of unstructured and vendor-specific proprietary data, which inhibit AI.</P> <P>This partnership rapidly accelerates the Scientific AI revolution by re-platforming and engineering this data to enable the large-scale production of AI-native scientific data across the entire value chain, supporting a growing suite of next-generation lab data management solutions, scientific use cases, and AI-based scientific outcomes.</P> <P>Scientific use cases already enabled by the partnership include generative AI for data analysis in cell therapy research, a lead clone selection assistant that reduces clone selection time by up to 80%, and digital QC analytics for method performance trending that reduces out-of-specification (OOS) events by up to 75%. Future use cases in the roadmap include predicting IC50 for drug candidates to speed up safety testing by at least 25%, speeding up purification process development through advanced visualizations of process and analytical data, and predicting optimal cell culture conditions to reduce bioprocess development times by up to 80%. This puts the power of AI into the hands of scientists to augment their daily work.<BR /><BR /><STRONG><FONT size="5"><A href="https://www.tetrascience.com/news/tetrascience-databricks-accelerating-the-scientific-ai-revolution?utm_source=bambu&amp;utm_medium=social&amp;utm_campaign=advocacy" target="_blank" rel="noopener">Continue to read.</A></FONT></STRONG></P> <P><LI-WRAPPER></LI-WRAPPER></P> Tue, 21 May 2024 05:03:07 GMT Sujitha 2024-05-21T05:03:07Z https://community.databricks.com/t5/announcements/accelerating-the-scientific-ai-revolution/m-p/70050#M106 <H1 data-css-zbsaqn="" data-name="Dearborn-Text"><FONT size="4">TetraScience and Databricks Join Forces To Transform Scientific Research, Development, Manufacturing, and Quality Control in Life Sciences</FONT></H1> <P><STRONG>BOSTON &amp; SAN FRANCISCO, May 20th, 2024</STRONG><SPAN>&nbsp;</SPAN>-<SPAN>&nbsp;</SPAN><A href="https://www.tetrascience.com/" rel="nofollow noopener noreferrer" target="_blank">TetraScience</A><SPAN>&nbsp;</SPAN>and<SPAN>&nbsp;</SPAN><A href="https://www.databricks.com/" rel="nofollow noopener noreferrer" target="_blank">Databricks</A><SPAN>&nbsp;</SPAN>today announced a strategic partnership dedicated to helping life sciences organizations harness Scientific AI to bring more effective and safer therapies to market faster and less expensively.</P> <P>The life sciences industry is racing to unlock data intelligence and harness the value of AI. Companies want to use their massive data sets and ever-cheaper computational resources but are blocked by more than 10 million silos of unstructured and vendor-specific proprietary data, which inhibit AI.</P> <P>This partnership rapidly accelerates the Scientific AI revolution by re-platforming and engineering this data to enable the large-scale production of AI-native scientific data across the entire value chain, supporting a growing suite of next-generation lab data management solutions, scientific use cases, and AI-based scientific outcomes.</P> <P>Scientific use cases already enabled by the partnership include generative AI for data analysis in cell therapy research, a lead clone selection assistant that reduces clone selection time by up to 80%, and digital QC analytics for method performance trending that reduces out-of-specification (OOS) events by up to 75%. Future use cases in the roadmap include predicting IC50 for drug candidates to speed up safety testing by at least 25%, speeding up purification process development through advanced visualizations of process and analytical data, and predicting optimal cell culture conditions to reduce bioprocess development times by up to 80%. This puts the power of AI into the hands of scientists to augment their daily work.<BR /><BR /><STRONG><FONT size="5"><A href="https://www.tetrascience.com/news/tetrascience-databricks-accelerating-the-scientific-ai-revolution?utm_source=bambu&amp;utm_medium=social&amp;utm_campaign=advocacy" target="_blank" rel="noopener">Continue to read.</A></FONT></STRONG></P> <P><LI-WRAPPER></LI-WRAPPER></P> Tue, 21 May 2024 05:03:07 GMT https://community.databricks.com/t5/announcements/accelerating-the-scientific-ai-revolution/m-p/70050#M106 Sujitha 2024-05-21T05:03:07Z