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Unsupervised cluster analysis identified similar groups of children in different cohorts, with distinct developmental patterns of immunorespiratory health, asthma and allergy.

Recurrent neuronal networks learn to predict movement in a self-supervised way using biologically plausible learning rules.

A supervised learning approach on a high-content genome-wide siRNA screen has identified 591 likely candidates for ciliopathies and facilitated in the discovery of KIAA0586 mutations in individuals with Joubert syndrome.

Combining high-resolution imaging with automated image segmentation and supervised machine learning achieves accurate cellular feature extraction and automated cell type recognition in a large-scale developmental process.

A method to assess the training of scientists, based on a set of 10 core competencies, is proposed.

Science hackathons can help academics, particularly those in the early stage of their careers, to build collaborations and write research proposals.

An analysis of 67,885 preprints on bioRxiv finds evidence for disparities in international participation that are similar to the disparities found in conventional journals.

Advances in techniques for analysing single cells and tissues have inspired an international effort to create comprehensive reference maps of all human cells - the fundamental units of life - as a basis for both understanding human health and diagnosing, monitoring and treating disease.

The challenges faced by new PIs in the UK include difficulties in recruiting PhD students, maintaining a good work-life balance and securing permanent positions.

The relentless expansion that threatens the sustainability of biomedical research in the US takes a heavy toll on young researchers.