Shaping the future of machine learning for active matter

Machine learning has proven to be very useful for the study of active matter, a collective term referring to things like cells and microorganisms. The field is quite new and growing fast. In an attempt to inspire more researchers to try the methods a group of scientists have published a paper in prestigious publication Nature Machine Intelligence reviewing what has been accomplished so far – and what lies ahead. Continue reading (English)

Press release:
Shaping the future of machine learning for active matter (In English)
Formar framtiden för AI-forskning på aktiv materia (In Swedish)

Article:
Machine learning for active matter

An algorithm that learns to diagnose a genetic disease

Researchers at the University of Gothenburg, together with researchers from Portugal, have now found a way to estimate the probability that a patient will suffer from a common genetic disease by training an algorithm using patient data. Continue reading (in English)

Press release:
Algoritm lär sig diagnostisera genetisk sjukdom (in Swedish)
An algorithm that learns to diagnose genetic disease (in English)

Article: Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning

Start-up “Lucero” Semi-finalist in SPIE Startup Challenge

Our idea Lucero, has reached the semi-final for the SPIE Start-up challenge, where will pitch in front of a jury at Photonics West in San Francisco, CA, USA on the 4th of February 2020.

Lucero will compete, among other 41 semifinalists, for cash prizes and business support.

In addition, Lucero was awarded one of the three Early Stage Entrepreneurship Travel Grants to attend the semi-final.

The start-up is aiming to make cutting-edge laser technology easy to use and available to anyone by combining it with commercial microscope. The product and software combo utilizes optical tweezers in a brand-new way – and bridges the gap between physics and other scientific fields that would greatly benefit from easier access to this tool.

In December, Lucero was ranked among the best 5 business ideas in West Sweden.

Team components: Christopher Jacklin, Rich Zapata Rosas, Felix Mossberg, Falko Schmidt, Alejandro Diaz Tormo and Martin Mojica-Benavides.

Links: Lucero Homepage

Start-up “Lucero Bio” among the best 5 business ideas in West Sweden

Falko Schmidt and other researchers at the University of Gothenburg, in collaboration with Business students at the Chalmers School of Entrepreneurship, have received early acclaimfor their Start-up idea “Lucero Bio”.

Lucero Bio was ranked among one of the top 5 business ideas in West Sweden by Venture Cup Sweden. Out of the 376 ideas that were submitted to the competition, nearly half came from the western region of Sweden.

The start-up is aiming to make cutting-edge laser technology easy to use and available to anyone by combining it with commercial microscope. The product and software combo utilizes optical tweezers in a brand-new way – and bridges the gap between physics and other scientific fields that would greatly benefit from easier access to this tool.

Team components: Christopher Jacklin, Rich Zapata Rosas, Felix Mossberg, Falko Schmidt, Alejandro Diaz Tormo and Martin Mojica-Benavides.

More information:
Press release, in Swedish.
Top 20 list of the 2019 winners, in Swedish.

DeepTrack selected by Optics & Photonics News as one of the most exciting optics discoveries in 2019

Optics & Photonics News has picked Saga Helgadóttir and Aykut Argun’s work on deep learning for particle tracking (DeepTrack) as a top break-through of the year.

“This has been a really good year for me, research-wise. My publication, presenting a new AI method, garnered a lot of attention,” says Saga Helgadóttir, PhD at the Department of Physics.

The research article in question, which is now included in Optics & Photonics News’ best-of-2019 list, identifies a new way of implementing neural networks and machine learning in order to track particle motion and study surrounding microenvironments.

After the publication in mid-April, Saga Helgadóttir was contacted by both national and international press to talk about her discoveries. She has also been invited to visit research groups abroad and was a speaker at the AI in Health and Health in AI conference held in Gothenburg in August.

Currently, Saga Helgadottir is collaborating with a group of scientists at Sahlgrenska’s Wallenberg Laboratory. They are working on new ways of using deep learning in the medical field.

“I started my PhD research studying bio-hybrid microswimmers, but ended up more within the area of artificial intelligence and optics. I like this work a lot, and the positive response to my publication earlier this year has allowed me to establish myself in the AI-field.”

Text: Carolina Svensson

List of highlighted research from 2019: Optics in 2019

Saga Helgadottir’s featured summary: Deep Learning for Particle Tracking

Original press release about the research: She has discovered a new method of using AI

Saga Helgadottir interviewed by Curie, a magazine issued by the Swedish Research Council

Saga Helgadottir discussed her research with Curie, a magazine issued by the Swedish Research Council. The article gives examples of how AI is used in many research disciplines. Read the article on Curie’s webpage here.

Jalpa Soni and Falko Schmidt at the Lindau Nobel Laureate Meeting

Jalpa Soni and Falko Schmidt have been nominated by the Marie-Curie association and the Ragnar-Söderbergs foundation to attend the 69th Lindau Nobel Laureate Meeting from the 30 June till 5 July 2019. Congratulations to both!

The Lindau Nobel Laureate Meeting is an annual scientific conference that brings together Nobel laureates and young scientists to encourage scientific exchange among different generations and cultures.
The 69th meeting will be dedicated to Physics, where 580 young scientist from 88 countries will be present.

Jalpa Soni is MSCA Fellow of the Week

Our Marie-Curie postdoctoral researcher Jalpa Soni becomes the #MSCA Fellow of the Week, and gets her project highlighted on Tweeter and Facebook pages of the Marie-Skłodowska-Curie Actions

Jalpa is studying the behaviour of micro swimmers like bacteria in 3D complex environments. That will give us the understanding of how they propagate in living systems, which in turn will be used to manipulate them for medicinal advantages.One such example would be to create artificial swimmers (active particles) mimicking natural bacteria for more efficient and targeted drug-delivery applications.To monitor the movement of such micro swimmers in 3D, Jalpa has developed a customised light-sheet microscope that is capable of fast volumetric imaging. The long term goal of the project is to create active particle induced drug-delivery methods for organ-on-chip devices and to monitor the drug efficacy in real time.

This is Jalpa’s insight as a MSCA fellow:

“The unique opportunity to build a new collaborative network has been the most beneficial aspect of my MSCA fellowship. The travels for the project has allowed me to experience different research organisations and to meet experts of various fields which is very important for interdisciplinary research that I love doing.”

Project Name: ActiveMotion3D – Experimental study of three-dimensional dynamics of Active particles

Learn more about Jalpa and her project:
CORDIS: https://bit.ly/2Rz1rVD

Tweeter: https://twitter.com/MSCActions/status/1070985015754919936
FB: 

Giovanni Volpe on the Panel on the 2018 Nobel Prize in Physics, Stockholm, 7 Dec 2018

Panel on the 2018 Nobel Prize in Physics
Friday, December 7, 15:00 – 18:00
Oscar Klein hall, Albanova, Roslagstullsbacken 21, Stockholm

Albanova, Stockholm’s center for Physics, Astronomy and Biotechnology cordially organizes a panel discussion about this year’s Nobel Prize in Physics, followed by a social gathering with drinks and snacks.

Panel Members:
Felix Ritort, University of Barcelona
Cord Arnold, Lunds University
Giovanni Volpe, Göteborg University
Valdas Pasiskevicius, KTH Royal Institute of Technology

Moderator:
Eva Lindroth, Stockholms University

https://www.fysik.su.se/om-oss/evenemang/the-2018-nobel-prize-in-physics-1.415146

Here is the direct videolink:
http://video.albanova.se/ALBANOVA20181207/video.mp4  (817MB)

The event web-page is at:
http://video.albanova.se/arc2018_32.html

Giovanni Volpe New Docent in Physics

From the article New Docent in Physics (English) and Ny docent i fysik (Swedish)

Three questions for Giovanni Volpe, appointed Docent in Physics at the Faculty of Science, University of Gothenburg.

Interview by: Linnéa Magnusson
Photo by: Malin Arnesson

What is your research about?

“I am conducting research in several different areas. Part of my work concerns artificial micro swimmers. In simple terms, this is about biological and artificial objects of microscopic size that can get around by themselves and counteract microorganisms. Research on micro swimmers involves many possibilities within basic science, nanoscience and nanotechnology.

“I am collaborating with Karolinska Institutet on a project that deals with neurodegenerative diseases such as Alzheimer’s, Parkinson’s and ALS (amyotrophic lateral sclerosis). We have developed software that serves as a toolkit, helping us to detect these diseases at an early stage.

“Another project deals with optical trapping and optical manipulation. Using optical tweezers, I can measure microscopic forces, for example.

“Finally, I am also working on a project that involves managing the challenges of condensed matter physics – in other words, matter and processes at the atomic level. With the help of machine learning, we can handle complex algorithms.”

What can society learn from your research?

“I hope that our work with micro swimmers can become a foundation on which we can build, so that in the future we can use them in real life. For example, this could involve cleaning contaminated soil or developing what are known as chiral drugs – medications that are more selective and more controllable and that have fewer side effects. It is to be hoped that our work in neuroscience will lead us to quickly detect and treat neurodegenerative diseases.”

What do you think is most exciting about the future?

“What is most exciting is the possibility of using artificial intelligence to solve physical and medical problems. In the future we will go from people developing and testing ideas to have data and systems under investigation speak for themselves.

Tre frågor till Giovanni Volpe som antagits som oavlönad docent i fysik vid Naturvetenskapliga fakulteten, Göteborgs universitet.

Vad handlar din forskning om?

– Jag forskar inom flera olika områden. En del i mitt arbete handlar om konstgjorda ”micro swimmers”. Förenklat så handlar det om biologiska och artificiella föremål i mikroskopisk storlek som kan ta sig fram själva och motverka mikroorganismer. Forskning om ”Micro Swimmers” innebär en mängd möjligheter inom grundvetenskap, nanovetenskap och nanoteknik.

– Jag samarbetar med Karolinska Institutet inom ett projekt som handlar om neurodegenerativa sjukdomar, som Alzheimers sjukdom, Parkinsons sjukdom och ALS. Vi har utvecklat en programvara som fungerar som en verktygslåda, som hjälper oss att tidigt upptäckta dessa sjukdomar.

– Ett annat projekt handlar om optisk fångst och optisk manipulation. Med hjälp av optiska pincetten kan jag exempelvis mäta mikroskopiska krafter.

– Till sist arbetar jag även med ett projekt som handlar om att hantera utmaningar med den kondenserade materiens fysik, alltså materia och processer på atomär nivå. Till hjälp har vi inlärningsmaskiner som kan hantera komplexa algoritmer.

Vad kan samhället lära av din forskning?

– Jag hoppas att arbetet med ”Micro swimmers ” kan bli en grund att bygga vidare på. Så att vi i framtiden kan använda ”Micro swimmers ” i verkliga livet. Det kan exempelvis handla om att kunna rengöra förorenad jord eller utveckla så kallade kirala läkemedel, det vill säga mediciner som är både mer selektiva, mer styrbara och har mindre biverkningar. Arbetet inom neurovetenskap kommer förhoppningsvis leda till att vi snabbt kan upptäcka och behandla neurodegenerativa sjukdomar.

Vad tycker du är mest spännande i framtiden?

– Det som är mest spännande är möjligheten att använda artificiell intelligens för att lösa fysiska och medicinska problem. I framtiden kommer vi att gå från att det är människor som utvecklar och testar idéer till att det är datorer och system som kommer att undersöka och analysera varandra.