A graphic including photos of some of the plenary speakers

Reading Time: 7 minutes Each year we invite plenary speakers who are experts in their fields to provide an overview on topics across MND research and clinical practice. This year we have 14 plenary speakers talking about ALS/MND who will discuss a wide range of topics from genetics to tissue biomarkers to improving clinical practice. In this second blog we will be taking a closer look at some of our plenary speakers this year and sharing more about the topics they will be discussing.

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A picture of two spiral proteins

Reading Time: 4 minutes My name is Dr Hannah Smith, and I’m a post-doctoral researcher at the University of Edinburgh. My project is supervised by Professor Tom Gillingwater, and my work is funded by MND Scotland. My current research focuses on comparing healthy motor neurons and those with MND/ALS, specifically focusing on early changes to the cellular machinery and how the motor neurons produce the proteins they need to function. I’ll discuss the specifics of that, and why we are interested in finding out this information, in the next section.

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A robot arm with finger pointed to a brain and a human arm with finger pointed to the same brain

Reading Time: 4 minutes My name is Florence and I’m doing a PhD in artificial intelligence (AI) enabled healthcare at University College London. My research is specifically investigating how AI techniques can be used to improve the prediction of how quickly somebody’s disease will progress in motor neurone disease.

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Keyboard, stethoscope and clipboard

Reading Time: 5 minutes What is a clinical endpoint?

A clinical endpoint is used to determine if the drug that is being tested in a clinical trial is beneficial to the people it is intended to treat – those effects that directly measure how a participant in the trial feels, functions or survives.

To determine a clinical endpoint, it is important to understand how a person with a disease feels and functions, and this is well understood in MND. So, a drug that improves any of these could be seen to be beneficial.

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