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...

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...

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 ...

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...

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...

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...

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...

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...

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...

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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