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  1. February 2015

    Episode 18: February 2015

    In this episode we hear about TB, HIV, social behaviour in ants, genetics in baboons and a surprising twist to the handshake.
  2. Episode 46: March 2018

    In this episode, we hear about autism, insulin resistance, Sci-Hub, coping with low levels of oxygen, and how the brain responds to blindness.
  3. December 2014

    Episode 16: December 2014

    In this episode we hear about reproducibility, drug resistance, cells without walls, gene transfer, interspecies signalling, and stem cells.
    1. Cancer Biology
    2. Immunology and Inflammation

    Discovery and Translation of Cancer Immunology: A Special Issue

    Edited by Jeffrey Settleman et al.
    eLife is pleased to present a Special Issue to highlight recent advances in the mechanistic understanding of the immune response to cancer cells.
  4. June 2013

    Episode 1: June 2013

    In the first eLife podcast we hear about the origins of multicellularity, the Irish potato famine, hepatitis viruses, how fog affects the behaviour of car drivers, and the evolution of chromatin.
  5. Episode 69: September 2020

    In this episode, we hear about prostate cancer, cultural diversity in bonobos, blood fat imbalances in Latin America and the Caribbean, insect behaviour, and how astrocytes can form new neurons.
  6. Episode 3: August 2013

    Episode 3: August 2013

    In this episode we hear about the cocktail party effect, the role of psuedogene RNA in the immune response, the genetic origins of a common form of blindness, the flu vaccine, and the origins of schistosomiasis.
  7. April 2014

    Episode 11: April 2014

    In this episode we hear about neuropathic pain, gene therapy, insulin production, aging in worms, and how flatworms grow new body parts.
  8. Episode 50: October 2018

    In this special episode, we discuss how tiny microbes in the gut – the microbiome – can have a huge impact on the lives of animals.
    1. Structural Biology and Molecular Biophysics

    DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning

    Johannes Thomsen et al.
    An open-source user-friendly toolbox implementing machine learning for single-molecule FRET analysis enabling experts and non-experts to reproducibly provide dynamic structural biology insights.