Pharma-biotech pairings continued apace in the antibody-drug conjugate (ADC) space, with 2023 capped by Legochem Biosciences Inc. signing a $1.7 billion licensure deal with Johnson & Johnson arm Janssen Biotech Inc. for the former’s Trop2-directed compound, the second-biggest Korean technology transfer agreement.
Echoing trends seen last year, the med-tech industry concluded 2023 with a continued surge in deal value juxtaposed against a more substantial decline in M&A value. Deal value for the year, including licensings, collaborations and joint ventures, reached $10.63 billion from 1,656 deals, the highest annual value in BioWorld’s records.
With an initial €8 million (US$8.4 million) in seed funding in the bank, Tessellate Bio has emerged from stealth to tackle cancers that rely on the less well explored synthetic lethality mechanism of alternative lengthening of telomeres.
Angle plc’s Parsortix system, which captures and harvest circulating tumor cells (CTCs) for liquid biopsy analysis, has been used in breakthrough work by researchers at the University of New Mexico looking into the role of CTC gene expression in the progression of melanoma brain metastasis. The researchers used the Parsortix system to harvest CTCs for analysis and concluded that “… gene expression in CTCs could be pivotal to prescribing more targeted treatment based on the needs of the patient.”
With an initial €8 million (US$8.4 million) in seed funding in the bank, Tessellate Bio has emerged from stealth to tackle cancers that rely on the less well explored synthetic lethality mechanism of alternative lengthening of telomeres.
Companies have invested billions for decades to crack the problem of treating the deep complexities involving stromal cancers, Phenomic AI CEO Girish Aakalu told BioWorld. Now he and his company are on the receiving end as they enter a new collaboration with Boehringer Ingelheim GmbH.
Etcembly emerged from stealth mode in August with something it regards as seemingly impossible: A machine learning platform that has the ability to predict and engineer – at never-seen-before scale and speed – T-cell receptors (TCR) that enable bispecific T-cell engager antibodies targeting cancer cells to be produced.
Etcembly emerged from stealth mode in August with something it regards as seemingly impossible: A machine learning platform that has the ability to predict and engineer – at never-seen-before scale and speed – T-cell receptors (TCR) that enable bispecific T-cell engager antibodies targeting cancer cells to be produced.
Etcembly emerged from stealth mode in August with something it regards as seemingly impossible: A machine learning platform that has the ability to predict and engineer – at never-seen-before scale and speed – T-cell receptors (TCR) that enable bispecific T-cell engager antibodies targeting cancer cells to be produced.
