Publications by authors named "R M Sunil Ratnayake"

Background: Children, particularly those who have received no routine vaccinations (zero-dose children), are at high risk of vaccine-preventable diseases in humanitarian crisis settings. However, the decision-making processes underlying vaccine intervention design and delivery in such settings are poorly understood. The present study investigated the decision-making practices of organisations involved in childhood vaccination in humanitarian crisis settings globally via an online survey.

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Covering 2010-April 2024There have been tremendous new discoveries and developments since 2010 in anticancer research based on marine cyanobacteria. Marine cyanobacteria are prolific sources of anticancer natural products, including the tubulin agents dolastatins 10 and 15 which were originally isolated from a mollusk that feeds on cyanobacteria. Decades of research have culminated in the approval of six antibody-drug conjugates (ADCs) and many ongoing clinical trials.

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Microtubules, consisting of α/β-tubulin heterodimers, are prime targets for anticancer drug discovery. Gatorbulin-1 (GB1, 1a) is a recently described marine natural product that targets tubulin at a new, seventh pharmacological site at the tubulin intradimer interface. Using our previously developed robust route towards GB1 (1a), we synthesized simplified, first-generation gatorbulins, GB2-7 (1b-1g) of this highly modified cyclodepsipeptide (GB1) that does not contain any proteinogenic amino acid.

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Article Synopsis
  • The study aimed to develop a machine-learning model to predict the risk of sepsis following retrograde intrarenal surgery (RIRS) for kidney stones, including data from 1,552 patients across 16 centers.* -
  • Inclusion criteria for patients were specified, and certain conditions like concomitant ureteral stones were excluded, with antibiotic treatments used where applicable.* -
  • The Random Forest algorithm outperformed other machine-learning models, achieving high precision, recall, and accuracy, and a web-based version of the predictive tool is available for use in clinical settings.*
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