LONDON – Orthox Ltd. is primed for an assault on the mountain that is knee cartilage repair after raising $12.5 million in a series A funding round. After more than a decade of translational and preclinical research, these funds will allow the company to start a trial of Fibrofix, a tissue regeneration product derived from silk, in the middle of this year. An initial cohort of six patients in the U.K. will be treated for sports injury-related cartilage damage, with six months follow up to demonstrate safety. Assuming positive results, that will be followed by treating a further 75 patients in the U.K., Hungary and elsewhere in mainland Europe.

These days it’s nearly impossible to turn around in the biopharma world without hearing about how some company is going to use machine learning to revolutionize drug development. “It really is a catchphrase,” acknowledged Jo Viney, whose latest startup, Seismic Therapeutic Inc. launched with a $101 million series A round to advance a platform incorporating machine learning capabilities to find new drugs for autoimmune diseases.

Congruence Therapeutics Inc. has closed on a $50 million series A financing to design small molecules to treat rare diseases with protein misfolding. Montreal-based Congruence uses structural bioinformatics, computational chemistry and machine learning in its in silico platform that detects key biophysical features on proteins. That data are used to then design drugs.

Endeavor Biomedicines Inc.’s $101 million series B round will let the firm forge ahead with ENV-101 (taladegib), a small-molecule inhibitor of the PTCH1 receptor in the Hedgehog signaling pathway, for cancer and idiopathic pulmonary fibrosis (IPF), as well as ENV-201, described as a potentially best-in-class small-molecule inhibitor of ULK1/2 in KRAS-driven cancers.