Dr Richard Cote and Dr Ramaswamy Govindan of the Washington University School of Medicine elucidate how AI, particularly deep learning networks, could identify histopathologic features in non-small cell lung cancer, and impact the treatment approach for early-stage patients. Dr Ramaswamy Govindan (Washington University School of Medicine) Dr Richard Cote (Washington University School of Medicine ..read more

The combination therapy worked faster and was lessened the number of leukaemia cells compared to asparaginase or venetoclax alone ..read more

A new proof-of-principle study demonstrates the DCAF5 protein is a promising target, which could avoid the need for toxic therapies ..read more

The findings from DNA and RNA sequencing in primary and metastatic UTUC tumours could lead to strategies to improve patient outcomes ..read more

In this Q&A, Dr Lev Becker, Associate Professor, University of Chicago and Cofounder of Onchilles Pharma, reveals how his company is directing research into neutrophil biology to the advantage of cancer patients that need it most ..read more

The ML algorithm explores how genetic mutations collectively influence a tumour’s reaction to drugs impeding DNA replication ..read more

Researchers discover that blocking PD-L2 in senescent cells increases the efficacy of chemotherapy in mouse models ..read more

Researchers suggest that DA histology slowly emerges by accumulating burdens of DNA damage and copy number aberrations ..read more

A new study proves that organoid drug testing is highly accurate at predicting effective treatments and finds a novel therapeutic option ..read more

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