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Translational Bytes

Translational Bytes


May20 Machine Learning to Improve Speed and Quality of Drug Development?

While machine learning (ML)-based predictions for in vitro ADME assays (absorption, distribution, metabolism, excretion) and noncompartmental analysis (NCA) based pharmacokinetics (PK) parameters are well established to prioritize compounds, the prediction of full plasma concentration time profil...
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May06 Large Language Models to Support Research on Clinical Trial Registries?

There is growing interest in using large language models (LLMs) to support clinical research. In particular, research on clinical trial registries has traditionally required considerable manual curation of data, which has hindered timely and up-to-date investigations on various topics. We hypothesi...
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Apr30 Intranasal Insulin: Emerging Treatment to Reduce Neurological Insult?

Intranasal insulin may have a use as a neuroprotective treatment for a multitude of diseases ranging from cardiac arrest to traumatic brain injury to Alzheimer’s disease. Animal data suggests that high doses of insulin may be required for neuroprotective effects. Current neuroprotective treatments ...
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Apr16 Understanding the Pharmacokinetics of Delta-9-Tetrahydrocannabinol (THC) and Cannabidiol (CBD) Using Physiologically Based Pharmacokinetic Models

The use of cannabis has rapidly increased over the past decade. Understanding how the body processes cannabinoids like THC and CBD is critical for optimizing their safety and medical use. Both compounds undergo first-pass metabolism, primarily through cytochrome P450 (CYP) enzymes and UDP-glucurono...
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Mar25 Detecting NAFLD and NASH via Algorithm

Identification and stratification of patients with under-recognized metabolic disease is critical in addressing the Nonalcoholic Fatty Liver Disease (NAFLD)* public health crisis. Reliance on frontline healthcare recognition alone may contribute to delays in treatment, monitoring, and referrals for...
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Mar17 Common Language for Cancer Detection Technology!

Early detection has been instrumental in reducing cancer mortality rates. With that, there has been a surge in the development of single-cancer detection (SCD) and multi-cancer detection (MCD) testing technology. In a rapidly evolving field, ensuring that all stakeholders are using consistent langu...
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Feb20 What If You Could Experiment on Your Electronic Self?

What is a digital twin? Imagine having a digital mechanistic model-based replica of a patient, enabling you to simulate various treatments and predict their outcomes – your “digital twin.” This powerful concept allows for personalized medicine by mirroring the patient's unique biology and ch...
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Feb06 Application of Modeling and Simulation for In Vivo CAR-Ts to Inform Dose and Regimen Selection

In vivo programming of endogenous T-cells to induce transient CAR-expression ( in vivo CAR-Ts) could be a potential alternative to exogenously administered autologous and allogeneic cell therapies, which inherently possess several limitations such as logistical/financial constraints and graft v...
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Jan28 Why do Diabetic Participants Enroll in Clinical Trials?

Decentralised clinical trial (DCT) approaches move all or part of a trial’s activities to the participant’s direct environment by using digital technologies and other operational innovations. Working with people living with type 2 diabetes from three European countries, we uncovered “What motivate...
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Jan21 CTS: Ringing in 2025, and Looking Back on a Strong 2024!

Wishing you a new year filled with breakthroughs in translational science! At Clinical and Translational Science ( CTS ), we hope you had a wonderful and relaxing holiday season with your family and friends, and wish you a happy, healthy, and successful 2025.
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Recent News
  • Machine Learning to Improve Speed and Quality of Drug Development?
    May 20, 2025
  • CPT Call for Papers: Elevating the Global Impact of Clinical Pharmacology
    May 15, 2025
  • ASCPT Adviser: May 2025
    May 08, 2025
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