Publications by authors named "V A George"

Functional recovery in penetrating neurological injury is hampered by a lack of clinical regenerative therapies. Biomaterial therapies show promise as medical materials for neural repair through immunomodulation, structural support, and delivery of therapeutic biomolecules. However, a lack of facile and pathology-mimetic models for therapeutic testing is a bottleneck in neural tissue engineering research.

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Background: Venous thromboembolism after colorectal cancer resection is common and highly morbid. Extended pharmacologic venous thromboembolism prophylaxis after cancer surgery lowers venous thromboembolism risk and is recommended by major professional societies. Adherence is low in contemporary local and regional studies.

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Background: Machine Learning (ML) models have been used to predict common mental disorders (CMDs) and may provide insights into the key modifiable factors that can identify and predict CMD risk and be targeted through interventions. This systematic review aimed to synthesise evidence from ML studies predicting CMDs, evaluate their performance, and establish the potential benefit of incorporating lifestyle data in ML models alongside biological and/or demographic-environmental factors.

Methods: This systematic review adheres to the PRISMA statement (Prospero CRD42023401194).

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Background: After the risk of drug-induced liver injury was detected during tolvaptan clinical development for the treatment of autosomal dominant polycystic kidney disease (ADPKD), a post-marketing pharmacovigilance study was required for European Union regulatory approval.

Methods: This is an interim analysis from a prospective, observational study enrolling patients prescribed tolvaptan for ADPKD in routine clinical practice. Data were obtained through physician records collected during regular care.

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Article Synopsis
  • The study aimed to develop a new working memory (WM) task tailored for the Indian context, which also evaluates individuals' self-assessment of their performance through a metacognitive approach.
  • Researchers used the ADDIE instructional design model to analyze needs, design the task, validate content, and conduct a pilot study to test its feasibility.
  • Results showed the new Activity Ordering Task (AOT) effectively measures WM and reveals metacognitive insights, proving it to be a valuable tool beyond typical assessments.
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