Techbio Today

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Clinical readouts, approvals, and setbacks, financing, dealmaking, platform progress, and reported research across biotech and biopharma, including the companies building AI into biology.

  • AstraZeneca taps insitro's AI platform for liver and heart drug targets

    AstraZeneca is paying insitro $40 million upfront, with up to $1.46 billion in potential milestones that bring the deal's headline value to $1.5 billion, to identify drug targets for metabolic liver disease and heart failure. AstraZeneca secures exclusive worldwide rights to advance any successful programs emerging from the alliance, which follows previous discovery partnerships insitro formed with Bristol Myers Squibb, Gilead, and Eli Lilly.

    Fierce Biotech, also reported by ReutersEndpoints News (subscription required)
  • Machine learning identifies brain-spliced microexons linked to autism

    Researchers from the University of Toronto, the Sloan Kettering Institute, King's College London, and the Francis Crick Institute applied a computational tool named MicroExonator to over 100 terabytes of RNA sequencing data, uncovering more than 1,500 tiny protein-coding segments known as microexons. A trained machine learning model predicted which rare genetic variants disrupt the regulatory code that controls microexon inclusion in brain transcripts. The team found that predicted splicing-altering variants clustered heavily among autistic individuals who previously lacked an identified genetic contributor to their condition.

    GEN
  • Illumina bundles multiomics software and splice-predicting AI into new BioInsight platform

    Illumina announced the launch of BioInsight, a unified software suite that combines its multiomics analytics, artificial intelligence tools, and biological datasets. The software includes SpliceA12, an updated genomic AI model that identified 17% more disease-linked splicing variants than competing tools in tests across Genomics England patient cohorts. Splicing alterations misdirect how cells piece together RNA transcripts, making them a major driver of rare inherited disorders, familial cancers, and drug response differences.

    GEN

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