Insights from a Kaggle team that ranked in the top 1.3% worldwide — Author: Yousef Rabi, Machine Learning Engineer at Max Kelsen Background Currently, COVID-19 can be diagnosed using polymerase chain reaction (PCR), however, this process is slow, taking hours or even days to obtain results. On the other hand, a chest radiograph can be obtained in minutes. If a machine learning model could…

How to build and implement FPGA applications on AWS from scratch — Author: Daniel Suess, Senior Machine Learning Engineer at Max Kelsen Deploying your deep learning models directly to edge devices comes with many advantages compared to traditional cloud deployments: Eliminating communication can reduce latency and reliance on the network connection; since the data never leaves the device, edge-inference helps with maintaining…

Developing methods towards better deep brain stimulation treatments. — Authors: Jordan Taylor and Melvyn Yap (Neuroscience Research Team at Max Kelsen) We used the activity of a few neurons in the brains of rats to predict the timing of audio beeps they were hearing. …

Author: Helena Foley, Machine Learning Researcher at Max Kelsen, based on SHAP paper by Melvyn Yap, PhD, Senior Machine Learning Researcher at Max Kelsen — In our previous blog, we introduced the concept of SHAP values (4) and its advantages over other saliency mapping methods such as LIME (5). We also proposed that the application of this method to genetic data can be used to explore biology and enable clinical utility of deep models. However…

Author: Helena Foley, Machine Learning Researcher at Max Kelsen — The road to the practical application of Machine Learning (ML) to medical data has been a long one and finally, the end may be in sight! It has already been successfully applied to things such as stained tumour tissue microarray (TMA) samples (Bychkov et al, 2018), whole-slide images (Ehteshami Bejnordi…

Author: Navid Toosi Saidy, Quality and Technology Translation Lead at Max Kelsen At Max Kelsen, we’re developing a range of advanced machine learning-based Digital Health solutions for a range of pressing issues across the healthcare and life sciences industry. …

Author: Melvyn Yap, PhD, Senior Machine Learning Researcher at Max Kelsen The Elusive Research Path Completing a PhD (Doctor of Philosophy) requires an incredible amount of focus, persistence, personal sacrifices, and quite often, a healthy dose of pure luck. It is common belief that earning the highest possible level of academic qualification will surely…

Authors: Kaiah Steven, Quantum Machine Learning Researcher & Jacob O’Farrell, Principal Engineer at Max Kelsen. Max Kelsen is only one of three Australian companies to attain AWS’s machine learning competency status, and was named AWS’s 2020 Partner of the Year for Data, Analytics and Machine Learning. …

Author: Jacob O’Farrell, Technical Delivery Lead at Max Kelsen Max Kelsen is only one of three Australian companies to attain AWS’s machine learning competency status, and was named AWS’s 2020 Partner of the Year for Data, Analytics and Machine Learning. …