Pharmatics COPD

Pulmonary rehabilitation improves symptoms of anxiety and depression in #COPD - a review of 11 trials in Chest bit.ly/2SOH5Jr

Information-maximizing GANs (InfoGANs) in Keras: bit.ly/2SziJDp #MachineLearning

Nice examples of #MachineLearning under label shifts (rather than covariate shifts): important if incidence of disease p(y) changes but symptom manifistations p(x|y) remain unchanged: arxiv.org/abs/1802.03916, arxiv.org/abs/1903.09734

Cochrane review of singing interventions in #COPD bit.ly/31RST1J - some improvements in the physical component summary score, no evidence of adverse events @BonnieNursie @cheynegang_COPD

Opportunities and obstacles for #DeepLearning in biology and medicine (strong on preclinical): bit.ly/2IGYO2h

A must-read from Volker Tresp of Siemens and colleagues on #AI and #machinelearning in healthcare - still one of the best: arxiv.org/abs/1606.08075

An insightful piece in JAMA on creating value for #machinelearning in healthcare bit.ly/2FoTpuD

New study aims to provide early warnings of #copd and #asthma outcomes using temporal features (2020-25; Washington, Utah, Kaiser): bit.ly/2KrmZUk

UK’s NHS Moves to Fast-Track #mhealth app validation process shar.es/a0wFhK, press release here: bit.ly/2F0Dt1s

Two references anyone working on #MachineLearning for precision medicine should know: domain-adversarial learning arxiv.org/abs/1505.07818 and model-agnostic meta-learning arxiv.org/abs/1703.03400

"Treatable traits" in #asthma and #copd bit.ly/2x5ga2c, bit.ly/2N02QGY - a new vision conforming with machine learning?

Excellent summary of singing for Lung Health from Imperial (Lewis et al. 2016) bit.ly/2KrWcXS @cheynegang_COPD @BonnieNursie

Challenges of COPD care (Han et al., Lancet Resp Med, 2016) - perhaps one of the most comprehensive summaries to this day - bit.ly/2WS1Au8

Prevention of acute exacerbations of COPD (Criner et al., Chest 2015) - still most relevant bit.ly/2IqLuyK

We will follow news and summarize key references in: (1) respiratory health, and (2) data-efficient machine learning.

Hello, world! Our aim is to improve treatment and management of #COPD using #AI.