Painting the brain: multiplexed tissue labelling of human brain tissue to facilitate discoveries in neuroanatomy
Multiplex labelling technology that generates spatial maps of large numbers of proteins can facilitate discoveries in neuroanatomy and the study of neurodegenerative diseases.
Decoding the work-from-home phenomenon: insights from location-based service data
The global pandemic has catalysed a shift in the job market, with remote work evolving from being an option to a widespread practice.
The use of digital footprints in the US mortgage market
Research digital skills training 2021 Detecting anomalous matches in professional sports: a novel approach using advanced anomaly detection techniques Dr Dulani Jayasuriya, Business and Economy, Business School; Mohamed Ayaz, PhD candidate, Department of Civil and...
Detecting anomalous matches in professional sports: a novel approach using advanced anomaly detection techniques
Detecting anomalous matches in professional sports: a novel approach using advanced anomaly detection techniques
Using a virtual machine-based machine learning algorithm to obtain comprehensive behavioural information in an in vivo Alzheimer’s disease model
utilising miniscope technology in a murine model of Alzheimer’s disease to characterise correlations between neuronal activity in the CA1 hippocampus, behavioural deficits and amyloid-beta plaque load.
Quantifying gas narcosis in compressed gas diving
The onset of narcosis symptoms is expected around 30 metres (405 kPa) when breathing air. The principal hazard of gas narcosis is euphoria, overconfidence, and loss of judgment.
Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution
Reconstruct the phylogenetic history of a colorectal cancer patient and a healthy patient from single-cell DNA sequencing data.
Travelling Heads – Measuring Reproducibility and Repeatability of Magnetic Resonance Imaging in Dementia
Approximately 50 million people are living with dementia worldwide, and in New Zealand, 1.4% of the population have Alzheimer’s disease or related dementia. With an ageing population, the prevalence is predicted to double by 2050
Improving In Vitro Fertilisation (IVF) with Machine and Deep Learning
By exploring how to improve the success rate of In Vitro Fertilisation (IVF) implantations, we hope the knowledge will be embedded in a model and made it widerly available locally and overseas where the investment will generate export value for New Zealand and benefit the needed parents by reducing IVF waiting time and increasing the rate of live births.