Scientists Develop New Painless Method to Deliver Insulin

 Judith Garcia, 19, fills a syringe as she prepares to give herself an injection of insulin at her home in the Los Angeles suburb of Commerce, Calif. (Reed Saxon/AP)
Judith Garcia, 19, fills a syringe as she prepares to give herself an injection of insulin at her home in the Los Angeles suburb of Commerce, Calif. (Reed Saxon/AP)
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Scientists Develop New Painless Method to Deliver Insulin

 Judith Garcia, 19, fills a syringe as she prepares to give herself an injection of insulin at her home in the Los Angeles suburb of Commerce, Calif. (Reed Saxon/AP)
Judith Garcia, 19, fills a syringe as she prepares to give herself an injection of insulin at her home in the Los Angeles suburb of Commerce, Calif. (Reed Saxon/AP)

Scientists from Nanyang Technological University, Singapore (NTU Singapore) and the Agency for Science, Technology and Research have showed that applying "temporal pressure" to the skin can create a new way to deliver drugs.

In a paper published in the Science Advances journal, the researchers showed that bringing together two magnets so that they pinch and apply pressure to a fold of skin, led to short term changes in the skin barrier and specifically the formation of "micro pores" underneath its surface.

In a report published Tuesday on the website of Nanyang Technological University, Lead author Daniel Lio said while needles and micro needle injections damage the skin, micro pores could pave the way towards painless transdermal delivery of drugs such as insulin.

"Our research project was first inspired by the traditional Chinese medicine 'tuina' therapy where physicians rub and apply pressure on skin and muscle tissue for treatment," explained Lio.

In tests, they showed that these micro pores, of about 3 micrometers in area, allowed drugs applied on the surface of the skin to diffuse through it more easily. Six times greater quantity of drug diffused through the skin of mice with the micro pores compared to the skin of mice which did not receive the temporal pressure treatment.

Compared to conventional injection where the skin has to be penetrated and there is a risk of a hypoglycaemia effect - when the injected insulin acts too fast and the patient gets dizzy - the new method is able to slowly deliver drugs over time without breaking the skin, thus causing less pain.

In the same report, co-author David Becker said their paper highlighted the potential to use this method which could alleviate the need for diabetes patients to inject insulin multiple times daily using conventional needles and syringes.

"Patients who have to inject drugs daily, such as insulin, are constantly asking whether there is another way to deliver their medicines that doesn't involve hurting or penetrating the skin. Our new findings hold promise for them and we hope that we can refine this method so that one day it may be possible to deliver enough drugs through the skin without pain," Becker added.



Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)
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Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)

One of the significant challenges facing researchers in artificial intelligence (AI) development is ensuring objectivity amid the rapid and ever-increasing flow of information online. With numerous tools now available to disseminate diverse data and information, it has become increasingly difficult for audiences to distinguish between truth and propaganda on one hand and between objective journalism and biased framing on the other.
This has underscored the growing importance of technologies designed to analyze, detect, and filter vast amounts of data. These tools aim to curb the spread of misinformation, combat rumors and fake news, and make the internet a safer space for sharing and accessing accurate information.
Fake news is defined as media content created and published with the intent to mislead or manipulate public opinion, often for political, economic, or social purposes. The methods for creating fake news range from simple manipulation of facts to sophisticated techniques like deepfakes, further complicating efforts to identify them.
In Abu Dhabi, Dr. Preslav Nakov, a professor and chair of Natural Language Processing at Mohamed bin Zayed University of Artificial Intelligence, is leading innovative efforts to develop AI technologies, particularly in analyzing the methods used in media to influence public opinion.
Among his most notable contributions is the development of FRAPPE, an interactive tool for global news analysis. FRAPPE provides comprehensive insights into the persuasive and rhetorical techniques employed in news articles, enabling users to gain a deeper understanding of diverse media contexts. According to Nakov, FRAPPE helps users identify how news is framed and presented in different countries, offering a clearer perspective on divergent media narratives.
FRAPPE’s capabilities also extend to analyzing media framing methods. Nakov explains that the tool allows users to compare how different media outlets address specific issues. For instance, one outlet in a particular country might emphasize the economic implications of climate change, while another focuses on its political or social dimensions.
AI is the cornerstone of FRAPPE’s functionality, enabling the tool to analyze complex linguistic patterns that influence readers’ opinions.
In a discussion with Asharq Al-Awsat, Nakov highlighted the tool’s capabilities, noting that AI in FRAPPE is fundamental to analyzing, classifying, and detecting intricate linguistic patterns that shape readers’ perceptions and emotions. He explained that the application uses AI to identify propaganda and persuasion techniques such as insults, fear-based language, bullying, exaggeration, and repetition. The system has been trained to recognize 23 subtle techniques often embedded in real-world media content.
Ensuring objectivity and reducing bias are among the main challenges in developing AI tools like FRAPPE. Nakov explains that FRAPPE focuses on analyzing the language used in articles rather than evaluating their accuracy or political stance.
To date, FRAPPE has analyzed over two million articles on topics such as the Russia-Ukraine war and climate change. The tool currently supports content analysis in 100 languages, with plans to expand its capabilities to additional languages and enhance the accuracy of its analyses, further strengthening its ability to comprehend global media patterns.