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Machine learning can predict outcomes for inkjet printed pharmaceuticals
A paper has shown how machine learning (ML) models predicted the inkjet printing printability of drug formulations with high accuracy.
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Virtual reality training in pharma: just a headset away?
Here, Virtual Reality experts UCL’s Steve Hilton and University of Kent’s Blanka Szulc reflect on key developments in the use of virtual reality in an academic setting and its outlook for the future.
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First virtual clinical trial examines two promising Alzheimer’s drugs
A first-of-its-kind simulated clinical trial has modelled long-term health outcomes for two key Alzheimer’s drugs to determine optimal treatments.
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Could process data offer a different approach for predicting quality?
A data collection study provides a product quality dataset that could form the basis of advanced analytical models to predict final product quality.
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CFD airflow stimulations can help enhance cleanroom contamination control, finds study
Researchers used computational fluid dynamics (CFD) simulations to assess their cleanroom airflow and suggest improvements that would reduce contamination levels.
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GCD enables product traceability and batch definition in continuous biomanufacturing
Research shows using the greatest common divisor (GCD) to define batches in continuous biomanufacturing enhances process control and raw material traceability.
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Model accurately predicts cyclodextrin formulation stability
The model determines cyclodextrin complex stability constants as a function of pH and temperature, helping to optimise formulations using cyclodextrin.
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Excipient knowledgebase to optimise the formulation and dosing of drugs
Researchers have compiled a repository of clinical and in vitro data for excipients to enable their potential to interact with drugs to be modelled.
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Herd immunity is an impractical COVID-19 mitigation strategy, says study
Researchers who designed a transmission model for COVID-19 demonstrated that attempting to establish herd immunity against COVID-19 would be too challenging.
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Gattefossé North America announces the recipient of the 2018 award for excellence
The Gattefossé North America award for excellence in research and development with lipid-based excipients is an annual prize recognising scientific excellence and significant contributions to the field of lipid-based formulations...
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Mouse model shows success of senolytic drugs in reversing senescent cell damage
An NIH-funded study has demonstrated that a combination of senolytic drugs can successfully reverse cell senescence in mice; providing potential avenue for future age-related treatment study.
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Organ-chips model and predict thrombotic side effect caused by anti-CD154 antibody hu5c8
An Emulate, Inc. study has demonstrated that its Blood Vessel-Chip accurately modelled and predicted thrombosis, or clotting of blood, induced by certain monoclonal antibody drugs, specifically anti-CD154 monoclonal antibody (mAb) hu5c8.
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Researchers use novel methods to determine drug uptake for tumours
Researchers at the Moffitt Cancer Center in Florida have combined single-cell imaging of cancer cells in mice with mathematical modelling to establish which drug characteristics determine its efficacy.
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3d simulation gives authentic representation of left-hand heart mechanisms
A team of scientists in Italy has developed a 3d model that uniquely presents an holistic demonstration of how the left-hand chambers of the heart interact with blood flow and its component parts. The ultimate aim is better prevention and treatment of cardiac conditions.
