Groundbreaking examine from the Kaunas College of Expertise and the Lithuanian College of Well being Sciences has revealed new insights into the results of low-frequency ultrasound on blood parameters. The group, led by Dr. Vytautas Ostasevicius, investigated the influence of various ultrasound intensities and durations on blood samples. Their findings, revealed within the journal Utilized System Improvements, present that low-frequency ultrasound can considerably alter blood parameters, providing potential new avenues for medical diagnostics and coverings.
The examine concerned a multidisciplinary group together with Professor Agne Paulauskaite-Taraseviciene, Professor Vaiva Lesauskaite, Dr. Vytautas Jurenas, Dr. Vacis Tatarunas, Professor Edgaras Stankevicius, Agile Tunaityte, Dr. Mantas Venslauskas, and Dr. Laura Kizauskiene. Their work explored how ultrasound publicity influences erythrocyte and platelet aggregation, with predictions enhanced by machine studying algorithms.
Dr. Ostasevicius defined the motivation behind their analysis: “We aimed to know how low-frequency ultrasound can affect numerous blood parameters, which might pave the best way for brand new diagnostic instruments and remedy strategies. Our findings counsel that ultrasound has a big influence on blood parameters, significantly on hemoglobin in purple blood cells and platelet aggregation.”
The researchers uncovered a big variety of blood samples to low-frequency ultrasound in a water bathtub working at a frequency of round 46 kHz. They used statistical analyses, together with ANOVA and the non-parametric Kruskal-Wallis technique, to guage the results of ultrasound on numerous blood parameters. The outcomes indicated statistically vital variations in blood parameters because of ultrasound publicity, significantly with high-intensity alerts utilized for various durations.
One of many vital findings was the influence of ultrasound on hemoglobin in purple blood cells. The examine discovered that ultrasound publicity had a extra pronounced impact on hemoglobin ranges in comparison with platelet aggregation. This highlights the potential of ultrasound to facilitate oxygen switch from the lungs to bodily tissues, which might have far-reaching implications for medical therapies.
The analysis group employed 5 machine studying algorithms to foretell ultrasound’s influence on platelet counts. Amongst these, help vector regression (SVR) exhibited the best prediction accuracy, yielding a median prediction error of round ten p.c. This means that machine studying can successfully predict adjustments in blood parameters induced by ultrasound, providing a strong software for future diagnostics.
The examine’s findings counsel that low-frequency ultrasound can considerably affect numerous blood parameters, offering a brand new technique for medical diagnostics and probably bettering remedy outcomes. The researchers suggest that future research ought to deal with the medical implications and therapeutic potential of ultrasound remedy, significantly in relation to hematological adjustments and illness therapies.
As Dr. Ostasevicius remarked, “Our analysis opens new avenues for using ultrasound in medical diagnostics and coverings. The flexibility to foretell adjustments in blood parameters with excessive accuracy utilizing machine studying algorithms might revolutionize how we method diagnostics and customized drugs.”
In abstract, this examine highlights the potential of low-frequency ultrasound as a non-invasive technique to change blood parameters, with vital implications for medical diagnostics and coverings. Using machine studying to foretell these adjustments additional enhances the potential for customized drugs, making this analysis a vital step ahead in medical science.
Journal Reference
Ostasevicius, V., Paulauskaite-Taraseviciene, A., Lesauskaite, V., Jurenas, V., Tatarunas, V., Stankevicius, E., Tunaityte, A., Venslauskas, M., & Kizauskiene, L. (2023). “Prediction of Adjustments in Blood Parameters Induced by Low-Frequency Ultrasound.” Utilized System Improvements. DOI: https://doi.org/10.3390/asi6060099
In regards to the Creator
Dr. Vytautas Ostaševičius is a Lithuanian mechanical engineer holding a habilitated doctorate (1988). He serves as Director of the Institute of Mechatronics at Kaunas College of Expertise (KTU) and has led the Division of Engineering Design and the Santaka Valley (integration of science, research, and enterprise) mission. He’s a full member of the Lithuanian Academy of Sciences (2011–2023), a overseas member of Sweden’s Royal Academy of Engineering Sciences (since 2010), and beforehand an knowledgeable evaluator for European Fee packages. His analysis encompasses dynamics of mechanical buildings, nonlinear mechanical programs, MEMS, IoT for Trade 4.0, vitality harvesting, therapeutic gadgets, and course of prediction utilizing AI.
