ReviewCancers2020
An Optimal Time for Treatment-Predicting Circadian Time by Machine Learning and Mathematical Modelling.
Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 46 citations in OpenAlex.
- Circadian clock disruption impairs immune oscillation in chronic endogenous hypercortisolism: a multi-level analysis from a multicentre clinical trial.EBioMedicine · 2024Trial
- Beyond Screen Time: A Measurement Framework for Behavioral Exposures in Childhood Myopia.Life (Basel, Switzerland) · 2026Review
- Clock gene signature predicts insomnia and links to sleep/circadian parameters.Translational psychiatry · 2026Article
- At the Right Time: Temporal Precision in Personalised Medicine.Sociology of health & illness · 2026Article
- Chronopharmacology-Driven Precision Therapies for Time-Optimized Cardiometabolic Disease Management.Biology · 2026Review
- Identification of Food-Derived Electrophilic Chalcones as Nrf2 Activators Using Comprehensive Virtual Screening Techniques.Antioxidants (Basel, Switzerland) · 2025Article
- Combining lineage correlations and a small molecule inhibitor to detect circadian control of the cell cycle.iScience · 2025Article
- Bridging ancient wisdom and modern technology: an AI and multi-omics framework for three causes tailored treatment in personalized medicine.Frontiers in molecular biosciences · 2025Review
- Molecular characterization of the circadian clock in patients with Parkinson's disease-CLOCK4PD Study protocol.PloS one · 2024Article
- An integrative mathematical model for timing treatment toxicity and Zeitgeber impact in colorectal cancer cells.NPJ systems biology and applications · 2023Article
- Modeling the Circadian Control of the Cell Cycle and Its Consequences for Cancer Chronotherapy.Biology · 2023Article
- Skeletal muscle gene expression dysregulation in long-term spaceflights and aging is clock-dependent.NPJ microgravity · 2023Article
- TimeTeller for timing health: The potential of circadian medicine to improve performance, prevent disease and optimize treatment.Frontiers in digital health · 2023Article
- Analysis of circadian rhythm components in EEG/EMG data of aged mice.Frontiers in neuroscience · 2023Article
- Article
- An Overview of the Circadian Clock in the Frame of Chronotherapy: From Bench to Bedside.Pharmaceutics · 2022Review
- It's About Time: The Circadian Network as Time-Keeper for Cognitive Functioning, Locomotor Activity and Mental Health.Frontiers in physiology · 2022Review
- A multidisciplinary perspective on the complex interactions between sleep, circadian, and metabolic disruption in cancer patients.Cancer metastasis reviews · 2021Review
- Article
- Recent Advances in Chronotherapy Targeting Respiratory Diseases.Pharmaceutics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Tailoring medical interventions to a particular patient and pathology has been termed personalized medicine. The outcome of cancer treatments is improved when the intervention is timed in accordance with the patient's internal time. Yet, one challenge of personalized medicine is how to consider the biological time of the patient. Prerequisite for this so-called chronotherapy is an accurate characterization of the internal circadian time of the patient. As an alternative to time-consuming measurements in a sleep-laboratory, recent studies in chronobiology predict circadian time by applying machine learning approaches and mathematical modelling to easier accessible observables such as gene expression. Embedding these results into the mathematical dynamics between clock and cancer in mammals, we review the precision of predictions and the potential usage with respect to cancer treatment and discuss whether the patient's internal time and circadian observables, may provide an additional indication for individualized treatment timing. Besides the health improvement, timing treatment may imply financial advantages, by ameliorating side effects of treatments, thus reducing costs. Summarizing the advances of recent years, this review brings together the current clinical standard for measuring biological time, the general assessment of circadian rhythmicity, the usage of rhythmic variables to predict biological time and models of circadian rhythmicity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.