All posts by PIER MARIA FORNASARI

A Technology Roadmap For Today’s Gene Therapy Manufacturing Challenges

In Nov. 2018, The National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) published technology roadmaps addressing needs and gaps in three key product areas: gene therapy, antibody-dug conjugates, and vaccines. The roadmaps were developed with the collaborative input of industry, academic, and government experts. This piece highlights technology opportunities for gene therapy manufacturing. The NIIMBL

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Could AI Make Gene Editing More Accurate?

Machine learning algorithms predict the repairs made to DNA after Cas9 cuts. The papersM.W. Shen et al., “Predictable and precise template-free CRISPR editing of pathogenic variants,” Nature, 563:646–51, 2018. F. Allen et al., “Predicting the mutations generated by repair of Cas9-induced double-strand breaks,” Nat Biotechnol, 37:64–72, 2019. During gene editing with CRISPR technology, the Cas9 scissors that

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GE Healthcare announces commercial launch of Chronicle™ automation software for cell therapy

GMP compliant software specifically designed for cell therapy manufacturing from process development through commercialization Digital optimization for increased productivity and improved process control  GE Healthcare builds on its digital capabilities with the Chronicle web application, the next generation development of my Cryochain™ software now supporting the complete cell therapy workflow. Chronicle automation software is a

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Exercise and antioxidants: A winning combination for brain health?

An international team of researchers representing several institutions in Japan and the US has published promising findings that may stand to benefit people living with the specter of Alzheimer’s and other neurodegenerative diseases, as well as age-related cognitive decline. In their paper published in PNAS, “Leptin in hippocampus mediates benefits of mild exercise by an antioxidant

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Artificial Intelligence in Health Care Will the Value Match the Hype?

Source: JAMA Artificial intelligence (AI) and its many related applications (ie, big data, deep analytics, machine learning) have entered medicine’s “magic bullet” phase. Desperate for a solution for the never-ending challenges of cost, quality, equity, and access, a steady stream of books, articles, and corporate pronouncements makes it seem like health care is on the

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Study shows AI improves accuracy of lung cancer diagnosis

One of lung cancer’s most lethal attributes is its ability to trick radiologists. Some nodules appear threatening but turn out to be false positives. Others escape notice entirely, and then spiral without symptoms into metastatic disease. On Monday, however, Google unveiled an artificial intelligence system that — in early testing — demonstrated a remarkable talent

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