Publications by authors named "Dickson I"
Article Synopsis
- Current conservation efforts lack a standardized system for identifying and analyzing failures, unlike some other sectors that have made progress in learning from mistakes.
- The authors created a 3-tier taxonomy that classifies the root causes of failure in conservation projects, based on real-life examples of failures and their underlying issues.
- Testing the taxonomy with conservation practitioners revealed no significant gaps, and it aims to enhance understanding and learning from failed conservation projects, ultimately fostering a culture that encourages learning from failures in the field.
Liver metastases siphon T cells and blunt immunotherapy responses.
Nat Rev Gastroenterol Hepatol
March 2021
Another Notch in the mechanism of Barrett oesophagus progression.
Nat Rev Gastroenterol Hepatol
July 2020
Increasing global burden of gastro-oesophageal reflux disease.
Nat Rev Gastroenterol Hepatol
May 2020
Perioperative cetuximab plus chemotherapy reduces overall survival in metastatic disease.
Nat Rev Gastroenterol Hepatol
April 2020
Active imagers capable of reconstructing 3-dimensional (3D) scenes in the presence of strong background noise are highly desirable for many sensing and imaging applications. A key to this capability is the time-resolving photon detection that distinguishes true signal photons from the noise. To this end, quantum parametric mode sorting (QPMS) can achieve signal to noise exceeding by far what is possible with typical linear optics filters, with outstanding performance in isolating temporally and spectrally overlapping noise.
View Article and Find Full Text PDFPancreatitis: a loss of FGF21 function disease with potential for correction.
Nat Rev Gastroenterol Hepatol
March 2020
Deep-learning AI for neoplasia detection in Barrett oesophagus.
Nat Rev Gastroenterol Hepatol
February 2020