Publications by authors named "S Woodford"

Neurotrauma, stroke, and subarachnoid hemorrhage (SAH) are symptomatically diverse and etiologically complex central nervous system pathologies. Despite numerous therapeutic modalities that are available to minimize neurologic damage and secondary injury, the prognosis can still be dismal and unpredictable. Nanoparticle (NP) technology allows for deliberate, modular, and minimally invasive drug delivery.

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  • The LUX-ZEPLIN (LZ) experiment is a significant scientific study using a dual-phase xenon chamber located underground in South Dakota to search for dark matter interactions.
  • The study extends existing theories to include relativistic effects, providing new constraints on the interactions between weakly interacting massive particles and nucleons based on their electric and magnetic dipole moments.
  • Results include 90% confidence level limits on the coupling strength of five different interactions, analyzed over a specific energy range, which advances our understanding in particle physics beyond previous nonrelativistic effective field theories.
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  • - Laparoscopic robot-assisted colorectal surgery can be risky for patients with severe aortic regurgitation due to complications like increased pressure and blood flow issues that can lead to heart problems.
  • - Transoesophageal echocardiography (TOE) helps manage these challenges during surgery but requires specialized skills and isn’t perfect for understanding how afterload affects the heart.
  • - The article discusses a case where both innovative pressure field haemodynamic monitoring and TOE were successfully used together during a surgery, providing better real-time insights into the patient's heart function.
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Background: The concept of a "textbook outcome" is emerging as a metric for ideal surgical outcomes. We aimed to evaluate the impact of an advanced haemodynamic monitoring (AHDM) algorithm on achieving a textbook outcome in patients undergoing hepatobiliary-pancreatic surgery.

Methods: This retrospective, multicentre observational study was conducted across private and public teaching sectors in Victoria, Australia.

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Revision total hip arthroplasty (rTHA) involving acetabular defects is a complex procedure associated with lower rates of success than primary THA. Computational modeling has played a key role in surgical planning and prediction of postoperative outcomes following primary THA, but modeling applications in rTHA for acetabular defects remain poorly understood. This study aimed to systematically review the use of computational modeling in acetabular defect classification, implant selection and placement, implant design, and postoperative joint functional performance evaluation following rTHA involving acetabular defects.

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