People are living longer than ever. But a long life has its price. With age come more diseases and health issues, such as hip problems that can limit a person’s mobility.
Hip replacement procedures have become common, although implants have a lifespan too. It might happen that a hip replacement you get at 60 needs to be replaced at 75. This is not the ideal scenario.
The hip joint simulator is a machine that replicates the joint movements and loads imposed on the human hip. To do so, the simulator uses three stainless steel frames, each of which can be controlled independently using motors. These motors act as the ‘muscles’ of the hip, programmed to replicate the walking cycle during testing.
When it comes to simulating load and forces, a mechanism can load the implants with weights of up to 300kg in a fraction of a second. This emulates what happens while walking, when the weight of the body rests on one leg due to the body’s shift in the centre of gravity. While running, inertial forces can cause the hip to sometimes take five times a person’s body weight.
Finally, to simulate the environment inside the human body, researchers use a specialised solution that mimics the bodily fluids surrounding the hip joint. They even warm the fluid to imitate body temperature.
The hip joint simulator forms part of the MaltaHip project that intends to radically redesign hip implants to give them the longer lifespan patients want and need. Watch this space for more.
In recent years, there has been a shift in the relationship between research and commercial industries. Commercial viability almost always comes into question for ongoing research. Commercialisation can be a boon. When a research project has demonstrated its potential to become a viable business, funding opportunities increase, meaning the research can be turned into a product or service that people can use.
In 2018, as part of a Masters in Knowledge-Based Entrepreneurship, I analysed the commercial potential of an ongoing University of Malta project. I conducted an in-depth market feasibility study on Prof. Ing Joseph Cilia’s Smart Micro Combined Heat and Power System, a device that can be fitted into homes and offices to deliver heat as a by-product of electricity, reducing energy costs. Many EU countries are setting up incentives to make these systems more feasible and attractive to consumers.
For my dissertation, I developed a business plan for the research team. An engineer myself, and having earned a Masters by Research back in 2014, this was different to anything I had done before. My supervisors, Prof. Russell Smith and Dr Ing. Nicholas Sammut, helped me find the right balance between utilising my technical knowledge whilst also analysing the product’s commercial potential. Even my language changed through the process; I began to speak of ‘euros per day’ rather than ‘kilowatt hours’. I learnt to differentiate between technological features and what real benefits future users would gain.
Being presented with a physical product, initially one may assume that it is to be sold to customers, or protected through a patent and licensed to the private sector. However, my market analysis revealed new target audiences that had not been thought of before. Selling the device was not the only way to exploit the project’s commercial potential. What if we leased the product instead of selling it? Should we continue developing the product or is it already innovative enough? What if we developed a spin-out—would it be too expensive or is it worth the investment?
By analysing a project through a commercial lens, all these questions arise, pointing out potential ways to make a good project great. But what makes a good business plan great is when all these questions are answered.
Are you carrying out research at the University of Malta which you think may have commercial potential? If so, contact the Knowledge Transfer Office on knowledgetransfer@um.edu.mt
When it comes to technology’s advances, it has always been said that creative tasks will remain out of their reach. Jasper Schellekens writes about one team’s efforts to build a game that proves that notion wrong.
The murder mystery plot is a classic in video games; take Grim Fandango, L.A. Noire, and the epic Witcher III. But as fun as they are, they do have a downside to them—they don’t often offer much replayability. Once you find out the butler did it, there isn’t much point in playing again. However, a team of academics and game designers are joining forces to pair open data with computer generated content to create a game that gives players a new mystery to solve every time they play.
They’re handing the design job over to an algorithm. The result is a game in which all characters, places, and items are generated using open data, making every play session, every murder mystery, unique. That game is DATA Agent.
Gameplay vs Technical Innovation
AI often only enters the conversation in the form of expletives, when people play games such as FIFA and players on their virtual team don’t make the right turn, or when there is a glitch in a first-person shooter like Call of Duty. But the potential applications of AI in games are far greater than merely making objects and characters move through the game world realistically. AI can also be used to create unique content—they can be creative.
While creating content this way is nothing new, the focus on using AI has typically been purely algorithmic, with content being generated through computational procedures. No Man’s Sky, a space exploration game that took the world (and crowdfunding platforms) by storm in 2015, generated a lot of hype around its use of computational procedures to create varied and different content for each player. The makers of No Man’s Sky promised their players galaxies to explore, but enthusiasm waned in part due to the monotonous game play. DATA Agent learnt from this example. The game instead taps into existing information available online from Wikipedia, Wikimedia Commons, and Google Street View and uses that to create a whole new experience.
Data: the Robot’s Muse
A human designer draws on their experiences for inspiration. But what are experiences if not subjectively recorded data on the unreliable wetware that is the human brain? Similarly, a large quantity of freely available data can be used as a stand-in for human experience to ‘inspire’ a game’s creation.
According to a report by UK non-profit Nesta, machines will struggle with creative tasks. But researchers in creative computing want AI to create as well as humans can.
However, before we grab our pitchforks and run AI out of town, it must be said that games using online data sources are often rather unplayable. Creating content from unrefined data can lead to absurd and offensive gameplay situations. Angelina, a game-making AI created by Mike Cook at Falmouth University created A Rogue Dream. This game uses Google Autocomplete functions to name the player’s abilities, enemies, and healing items based on an initial prompt by the player. Problems occasionally arose as nationalities and gender became linked to racial slurs and dangerous stereotypes. Apparently there are awful people influencing autocomplete results on the internet.
DATA Agent uses backstory to mitigate problems arising from absurd results. A revised user interface also makes playing the game more intuitive and less like poring over musty old data sheets.
So what is it really?
In DATA Agent, you are a detective tasked with finding a time-traveling murderer now masquerading as a historical figure. DATA Agent creates a murder victim based on a person’s name and builds the victim’s character and story using data from their Wikipedia article.
This makes the backstory a central aspect to the game. It is carefully crafted to explain the context of the links between the entities found by the algorithm. Firstly, it serves to explain expected inconsistencies. Some characters’ lives did not historically overlap, but they are still grouped together as characters in the game. It also clarifies that the murderer is not a real person but rather a nefarious doppelganger. After all, it would be a bit absurd to have Albert Einstein be a witness to Attila the Hun’s murder. Also, casting a beloved figure as a killer could influence the game’s enjoyment and start riots. Not to mention that some of the people on Wikipedia are still alive, and no university could afford the inevitable avalanche of legal battles.
Rather than increase the algorithm’s complexity to identify all backstory problems, the game instead makes the issues part of the narrative. In the game’s universe, criminals travel back in time to murder famous people. This murder shatters the existing timeline, causing temporal inconsistencies: that’s why Einstein and Attila the Hun can exist simultaneously. An agent of DATA is sent back in time to find the killer, but time travel scrambles the information they receive, and they can only provide the player with the suspect’s details. The player then needs to gather intel and clues from other non-player characters, objects, and locations to try and identify the culprit, now masquerading as one of the suspects. The murderer, who, like the DATA Agent, is from an alternate timeline, also has incomplete information about the person they are impersonating and will need to improvise answers. If the player catches the suspect in a lie, they can identify the murderous, time-traveling doppelganger and solve the mystery!
De-mystifying the Mystery
The murder mystery starts where murder mysteries always do, with a murder. And that starts with identifying the victim. The victim’s name becomes the seed for the rest of the characters, places, and items. Suspects are chosen based on their links to the victim and must always share a common characteristic. For example, Britney Spears and Diana Ross are both classified as ‘singer’ in the data used. The algorithm searches for people with links to the victim and turns them into suspects.
But a good murder-mystery needs more than just suspects and a victim. As Sherlock Holmes says, a good investigation is ‘founded upon the observation of trifles.’ So the story must also have locations to explore, objects to investigate for clues, and people to interrogate. These are the game’s ‘trifles’ and that’s why the algorithm also searches for related articles for each suspect. The related articles about places are converted into locations in the game, and the related articles about people are converted into NPCs. Everything else is made into game items.
The Case of Britney Spears
This results in games like “The Case of Britney Spears” with Aretha Franklin, Diana Ross, and Taylor Hicks as the suspects. In the case of Britney Spears, the player could interact with NPCs such as Whitney Houston, Jamie Lynn Spears, and Katy Perry. They could also travel from McComb in Mississippi to New York City. As they work their way through the game, they would uncover that the evil time-traveling doppelganger had taken the place of the greatest diva of them all: Diana Ross.
Oops, I learned it again
DATA Agent goes beyond refining the technical aspects of organising data and gameplay. In the age where so much freely available information is ignored because it is presented in an inaccessible or boring format, data games could be game-changing (pun intended).
In 1985, Broderbund released their game Where in the World is Carmen Sandiego?, where the player tracked criminal henchmen and eventually mastermind Carmen Sandiego herself by following geographical trivia clues. It was a surprise hit, becoming Broderbund’s third best-selling Commodore game as of late 1987. It had tapped into an unanticipated market, becoming an educational staple in many North American schools.
Facts may have lost some of their lustre since the rise of fake news, but games like Where in the World is Carmen Sandiego? are proof that learning doesn’t have to be boring. And this is where products such as DATA Agent could thrive. After all, the game uses real data and actual facts about the victims and suspects. The player’s main goal is to catch the doppelganger’s mistake in their recounting of facts, requiring careful attention. The kind of attention you may not have when reading a textbook. This type of increased engagement with material has been linked to improving information retention.In the end, when you’ve traveled through the game’s various locations, found a number of items related to the murder victim, and uncovered the time-travelling murderer, you’ll hardy be aware that you’ve been taught.
‘Education never ends, Watson. It is a series of lessons, with the greatest for the last.’ – Sir Arthur Conan Doyle, His Last Bow.
Maltese researchers are leading the way in developing new diagnostic tools for cancer. Dawn Gillies finds out more from Prof. Godfrey Grech and Dr Shawn Baldacchino.
Breast cancer survival rates have been improving steadily in recent years. In Malta, 86.9% of patients currently survive, up 7% over the last decade. Thanks to new targeted therapies, the outlook is increasingly bright. But precision therapies need precision testing.
Breast cancer diagnosis has reached new heights and with current tests using tissue biopsies, pathologists can classify patients for specific treatment. Precision medicine goes a step further. It provides more information, predicting the aggressiveness of the cancer and measuring the number of cells from the tumour that spread into the bloodstream.
Dr Shawn Baldacchino
This does not mean that all requirements in precision therapy have been met.
At the time of writing, there is no simple method to test patients’ ongoing benefit from treatment or to measure different tumour areas from one sample. For this to be possible, we need super-sensitive tests. This is where Prof. Godfrey Grech and Dr Shawn Baldacchino at the University of Malta come in.
Detecting the undetectable
During his PhD, Baldacchino studied a new class of breast cancer representing most cases of the triple negative type, which affects 12% of breast cancer patients in Malta.
In triple negative breast cancers, tests for estrogen receptors, progesterone receptors, and excess HER2 protein all result in negatives and are associated with aggressive tumours.
To detect this new class of breast cancer, Grech’s team have created a new test that uses molecular substances we naturally produce in our body—biomarkers. By pinpointing the right combination of certain biomarkers, they can test for this new class within the triple negative breast cancer cases.
They initially used the test to look at biopsies from past patients. These exercises showed that they could accurately detect the cases—even in samples that were over a decade old! In fact, the test was so successful that the team is now working with biological testing industry giant Luminex to use it in hospitals worldwide. With a patent filed, research labs will get their hands on it later this year with the hope that by 2021 it will be used to directly help patients in hospitals.
However, there is more work ahead. Encouraged by the results so far, the team wants to take the test and other current biomarker tests a step further. They want to use a simple blood sample which is less invasive, allowing patients to be monitored during therapy.
Pushing boundaries
With the method Grech and his team have optimised, obtaining information on new classes of patients that predict therapy use, detecting different tumour areas in one sample, and the use of blood to monitor the benefits of therapy have become a
Prof. Godfrey Grech, Dr Shawn Baldacchino and the team Photo by James Moffett
possible reality. With technologies from Luminex and Thermo Fisher, they can now read over 40 biomarkers in one test simultaneously. But with blood they need a new angle. And that is happening through another test using particles that originate from cells called exosomes.
Exosomes are tiny messenger bubbles which cells release into the blood . ‘We believe that when there is a tumour in the patient, there will be a signature in these exosomes circulating in the blood,’ says Baldacchino.
Finding these exosomes could mean detecting cancer at an earlier stage than is currently possible. The team believes they would be able to detect the exosomes that point to cancer long before a tumour shows up in scans and other regular tests—and so, they would be able to nip the cancer in the bud. But to do this, they need to be able to decode the messages the exosomes are carrying.
Positives for patients
It’s not only in the realm of breast cancer diagnosis and classification that the team can help patients—they might also be able to improve treatment. ‘Most targeted therapies currently try to inhibit specific receptors and proteins to stop the uncontrolled growth of cancer cells,’ Grech says. But through their research, the team has found that targeting the low activity of specific complexes of proteins in tumour cells is key. Their research models show that increasing the activity of these protein complexes is possible using specific drugs.
This is true for triple negative breast cancer, where the amount of PP2A protein is extremely low. The PP2A protein enables the body to fight the cancer, so increasing its activity would create a chain reaction in the body which could limit the growth and spread of that category of cancer cells.
This approach to treatment has applications beyond triple negative breast cancer. Grech is hopeful that PP2A production could be amped up for different types of cancer too, and lead to positive results.
Managing the unmanageable
When organising a project like this, it’s expected that things won’t go to plan. One of the biggest challenges for Grech’s team has been establishing collaborations with other groups across the globe. They need these connections to provide the samples required to test their systems. With other groups working on similar projects, time is a limited resource. Thankfully, the team found collaborators in Leeds (UK), and Barcelona (Spain), allowing the group access to the samples they need.
What is certain is that support for this work has come in many shapes and forms. The project received funding both from public donations and the Malta Council for Science and Technology. Baldacchino also found an ally in the charity foundation Alive with the help of the Research Trust of the University of Malta (RIDT). He is the first recipient of funding from them, and their first graduate.
Predicting the future
Thanks to projects like these, cancer research has a bright future in Malta. The team has their product launch to look forward to later this year, which will see a drastic reduction to the time and effort it takes researchers and doctors to determine the type of breast tumour.
But a lot of challenges lie ahead. The biggest challenge will come in the move to early stage cancers. These cancers have low levels of substances to detect, which means that any test they develop will have to be extremely sensitive in order to be effective. Successfully identifying these cancers would signal a massive breakthrough for the global medical community—and, more importantly, for patients. Early detection through basic blood tests would open the door to early stage treatment and a higher rate of survival. Nothing could matter more.
A staggering amount of diseases can be traced back to a genetic cause. Dr Rosienne Farrugia talks to THINK about her team’s efforts to use genome sequencing to eventually secure timely treatment for some very serious conditions.
Curbing extremism and violence is high on the global agenda. With prisons known to be a breeding ground for recruiters, are we doing enough to protect our inmates? Michela Scalpello writes.
Living on an island in the middle of the Mediterranean, chances are that fish are an integral part of your diet. But do you think about how the fishing industry actually works? Kirsty Callan talks to Dawn Borg Costanzi about the need for safer, more ethical practices.
Relationships are based on trust, communication, and mutual respect. The same can be said of Responsible Research and Innovation (RRI). Behind all the new ideas, it all boils down to a group of people, hailing from different walks of life, coming together to try and create a better future for everyone. At the fourth annual NUCLEUS conference, researchers, academics, science communicators, creatives, and business people flocked to the tiny isle of Malta to share their stories and attempts to embed RRI into their institutions and communities. As everyone settled in, dialogue flowed among delegates and the room was abuzz. University of Malta pro-rector Prof. Godfrey Baldacchino opened the conference with a question: How similar are universities and Valletta, the fortified capital that was hosting the conference? Having been constructed following Malta’s infamous Great Siege, the Knights encased Valletta in massive bastions, allowing only four small entry points. ‘Valletta is an island on an island,’ Baldacchino said. ‘Are universities the same? Are we trying to protect our own?’ The question had many heads nodding in response.
Most people in the room expressed a feeling of obligation to render knowledge more accessible, more relevant, and more digestible to a wider audience. But they encounter a myriad of challenges. Engaging with publics or policy makers isn’t easy. It means addressing different needs in different ways, sometimes even pandering to whims and flights of fancy. Most people noted issues with time, funding, and resources, calling for processes to be formalised. Others pointed to a lack of creative skills and, sometimes, general interest across the board. What also quickly emerged was frustration with the term RRI itself, creating confusion where there needn’t be any.
With all of these difficulties, however, came solutions. Dr Penny Haworth from the South African Institute for Aquatic Biodiversity, said that in her experience ‘we need to look at what universities are already doing and work smart. Win hearts and minds.’ University of Malta’s Nika Levikov also pointed out that ‘there are a lot of people practicing RRI who are not conscious of it.’ And for those who do not believe it to be a priority, for those who do not want to engage? ‘You have to set them aside and show them it is possible in a way they understand,’ says Zoran Marković from MISANU, Serbia.
Picking up Baldacchino’s thread on bringing down the walls of universities and research institutions, Dr Annette Klinkert from Rhine-Waal University of Applied Sciences in Germany summed up her main takeaway from all the discussions. ‘What we can learn here is that it’s time to burst the bubble in which we work. Especially this field of RRI. It is time to leave our cosy little community with our results.’ The results are the various projects that NUCLEUS has been championing over the past years, bringing research to its audiences. ‘All the projects are useless if they can’t merge and get out [into society and communities],’ she emphasises. ‘If they don’t merge, they’re pointless. It is time to burst the bubble.’
Food is one of life’s constants. Yet, what we eat has major ramifications on global climate. Food production uses up major resources: it accounts for more than 70% of total freshwater use, over one-third of land use, and accounts for just shy of 25% of total greenhouse gas (GHG) emissions, of which 80% is livestock. Yes, that steak you just ate has had a direct impact on the world’s climate! There is something of an oxymoron in the world’s food ecosystems. Overconsumption is linked to major health problems like obesity, cardiovascular disease, diabetes, and certain cancers that together account for up to 71% of global deaths. On the other hand, there are around one billion people in the world who suffer from hunger and underconsumption. All of this is compounded by problems of food loss and waste. This raises important questions related to the ethics of worldwide food production and distribution.
Food production and consumption is determined by many factors: population numbers, incomes, globalisation, sex (biology), and gender (socio-cultural) differences. The combination of a sedentary lifestyle and an unbalanced diet, high in red, processed meat, low in fruits and vegetables, is a common problem in many developed countries. And this impacts not just human health, but also biodiversity and ecosystems.
Supervised by Prof Simone Borg, I chose an exploratory research design with embedded case studies. The aim was to analyse the dietary patterns of men and women. I wanted to critically question the power relations that feed into socio-economic inequities and lead to particular food choices. I used both quantitative and qualitative methods, modelling the life cycle assessment and scenario emission projections for 2050 in Malta, Brazil, Australia, India, and Zambia among males and females aged 16 to 64.
Precious Shola Mwamulima
The four dietary scenarios I took into consideration were present-day consumption patterns (referring to the 2005/7 Food and Agriculture reference scenario), the World Health Organisation (WHO) recommended diet (300g of meat per week and five portions per day of fruit and veg), vegetarian/mediterranean/pescatarian diets, and the vegan diet. From there, I measured ammonia emissions, land use, and water from cradle to farm gate, with a special focus on gender.
The findings were alarming, indicating that none of the five countries are able to meet emissions reductions under current dietary patterns. If we were to adopt the WHO recommended diet, GHGEs would be cut by 31.2%. A better result would be gained from a vegetarian diet, which would slash emissions by 66%, while a vegan diet comes out on top with a projected 74% reduction.
Some interesting points that arose were that the Global Warming Potential is higher in men in all countries due to higher meat consumption. Zambia and India would benefit the most from the proposed dietary shifts in absolute terms, while Australia, Malta, and Brazil would feel the positive impacts on individual levels in per capita terms, reducing carbon footprints considerably.
Reduced meat consumption substantially lowers dietary GHG emissions. We need to prospectively consider the interplay of sex and gender, and develop climate change, health, and microeconomic policies for effective intervention and sustainable diets. Adopting a flexitarian diet that is mostly fruits and vegetables, with the occasional consumption of meat, can save lives, the planet, and economies—some food for thought!
This research was carried out as part of a Master of Science (Research) in Climate Change and Sustainable Development at the Institute of Climate Change and Sustainable Development, University of Malta.
