• Issue

    Clinical and Translational Discovery: Volume 4, Issue 3

    June 2024

ISSUE INFORMATION

Open Access

Issue Information

  • First Published: 04 May 2024

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Open Access

Revisiting Bacille Calmette-Guérin revaccination strategies: timing of immunization, Mycobacterium tuberculosis and non-tuberculous mycobacteria infections, strain potency and standardization of randomized controlled trials

  • First Published: 23 May 2024
Revisiting Bacille Calmette-Guérin revaccination strategies: timing of immunization, Mycobacterium tuberculosis and non-tuberculous mycobacteria infections, strain potency and standardization of randomized controlled trials

1) Bacille Calmette-Guérin (BCG) revaccination timing is crucial for enhancing immunity, particularly in adolescents and young adults.

2) Prior Mycobacterium tuberculosis or non-tuberculous mycobacteria infections may influence the perceived efficacy of BCG revaccination.

3) Different BCG strains show varied immunogenicity, affecting the vaccine's protective potential.

4) Standardized randomized controlled trial methodologies are essential for robust and comparable BCG revaccination research outcomes.

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Intervertebral disc degeneration and regenerative medicine

  • First Published: 06 June 2024
Intervertebral disc degeneration and regenerative medicine

Intervertebral disk (IVD) degeneration is a common phenomenon that affects patients with increasing prevalence in increasing age.

RESEARCH ARTICLES

Open Access

Pharmaceutical company payments to Japanese breast cancer practice guideline authors

  • First Published: 14 June 2024
Pharmaceutical company payments to Japanese breast cancer practice guideline authors

  1. Of the 149 authors of the Clinical Practice Guidelines for Breast Cancer, edition 2022, 115 (77.2%) received personal payments from drug companies from 2016 to 2020.
  2. More than 60% of personal payments were not declared by the authors, because of the less transparent COI policy of the Japanese Breast Cancer Society.
  3. Nine authors undeclared personal payments summing $594 615 despite being higher than the thresholds.

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Open Access

Deep learning for predicting synergistic drug combinations: State-of-the-arts and future directions

  • First Published: 17 June 2024
Deep learning for predicting synergistic drug combinations: State-of-the-arts and future directions

  • Combination therapy's efficacy: It's a vital strategy for treating complex diseases, overcoming drug resistance, and minimizing toxicity.
  • Challenge of drug combination: The vast number of potential drug pairs makes exhaustive clinical testing impractical.
  • Deep learning in drug combination prediction: Recent advancements use diverse deep learning architectures to predict synergistic drug combinations, addressing key challenges and suggesting future research directions.