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You can appreciate the role it plays in today's medical world even more by learning about the history of the x-ray. https://lnkd.in/e7ANaBij #towerfasteners #towerfastenerseu #historyofxray #medicalhistory #xray #science #engineering

Another one of our papers were once again included in the list of the most popular papers of #IEEE Transactions on Molecular, Biological and Multi-Scale #Communications. The title of the paper is "Machine Learning in Nano-Scale Biomedical Engineering" and it was authored by Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris Tegos, Vasilis Papanikolaou, and George Karagiannidis. You can find the paper in #ieeexplore in the following link: https://lnkd.in/dvkyh7Gb

Some more good news! Our paper entitled "Machine learning in nano-scale biomedical engineering," has again included in the list of most popular papers of IEEE Transactions on Molecular, Biological and Multi-Scale Communications. The paper was authored by Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris Tegos, Vasilis Papanikolaou, and George Karagiannidis. You can find the full paper in the following link.

One more of our papers have been included to the list of most popular papers for September 2024. The paper is titled "Machine Learning in Nano-Scale Biomedical Engineering" and it was authored by Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris Tegos, Vasilis Papanikolaou, and George Karagiannidis. The paper was published by #IEEE #Transactions on #Molecular, #Biological and #Multi-Scale #Communications and you can download it from #ieeexplore from the following link. https://lnkd.in/dvkyh7Gb

Our paper with title Machine Learning in Nano-Scale Biomedical Engineering was also one of the paper that was included in the list of most downloaded papers of  #IEEE Transactions on Molecular, Biological and Multi-Scale Communications for October 2023. The paper was authored by: Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris Tegos, Vasilis Papanikolaou, and George Karagiannidis. You can find the paper in the following link.

One more of the papers that I am a (co-)author has been included in the list of most popular papers for the month November 2023. The paper title is "Machine Learning in Nano-Scale Biomedical Engineering," and it was published in the IEEE Transactions on Molecular, Biological and Multi-Scale Communications ( Volume: 7, Issue: 1, March 2021). The paper was authored by Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris Tegos, Vasilis Papanikolaou, and George Karagiannidis. The abstract of the paper is the following: Machine learning (ML) empowers biomedical systems with the capability to optimize their performance through modeling of the available data extremely well, without using strong assumptions about the modeled system. Especially in nano-scale biosystems, where the generated data sets are too vast and complex to mentally parse without computational assist, ML is instrumental in analyzing and extracting new insights, accelerating material and structure discoveries and designing experience as well as supporting nano-scale communications and networks. However, despite these efforts, the use of ML in nano-scale biomedical engineering remains still under-explored in certain areas and research challenges are still open in fields such as structure and material design and simulations, communications and signal processing, and bio-medicine applications. In this article, we review the existing research regarding the use of ML in nano-scale biomedical engineering. In more detail, we first identify and discuss the main challenges that can be formulated as ML problems. These challenges are classified in three main categories: structure and material design and simulation, communications and signal processing and biomedicine applications. Next, we discuss the state of the art ML methodologies that are used to countermeasure the aforementioned challenges. For each of the presented methodologies, special emphasis is given to its principles, applications and limitations. Finally, we conclude the article with insightful discussions, that reveal research gaps and highlight possible future research directions. Keywords: #6G, #machinelearning, #nanotechnology, #nanoparticles, #bioengineering, #biomedical, #biomedicalresearch, #wirelesscommunications. You can read the paper in the following link.

You can overcome the #WesternBlot challenges of producing quantifiable and reproducible data using the Fusion systems because of its advanced camera technology and high sensitivity reading. Take images and analyze them with a non-proprietary, #EasytoUse software the system offers. https://lnkd.in/gnnAtzuE #science #preclinincal #research #laboratory #laboratory #scientist VILBER

Scientists Uncover Unexpected Behavior in Active Particles. A new study delves into the behavior of active particles whose propulsion speed varies with their orientation. They found that these particles form non-circular clusters with a constant flow of particles entering and exiting. This research, significant for the potential control of particle assembly, has implications for creating programmable matter and advancements in medical technology - https://lnkd.in/g3dk2be5

In labs where science meets the art, Biomedical engineering plays its part. A symphony of cells, circuits, and gears, Creating solutions for human fears. From prosthetic limbs to organs grown, Innovation's seeds have truly sown. Bridging biology with technology's grace, Restoring health in the human race. Microscopes reveal the secrets within, DNA's dance, a tale to begin. Nanoparticles, tiny and bright, Illuminate paths to healing's light. Implants that mend a broken heart, Stents that ensure arteries won't depart. Bio-materials, woven and strong, Building bridges where once was wrong. In the realm where life and machines converge, Biomedical engineers tirelessly urge, A future where illness is just a ghost, And humanity's health is what we boast. So let us praise this noble art, Where science and compassion depart. For in the hands of those who engineer, Lies hope for a future without fear. #BiomedicalEngineering

Alhamdulillah! (All praise be to God) Second paper from my PhD work at the University of Iowa is published now in #ACS_Applied_Electronic_Materials. I am grateful to my supervisor Dr. Caterina Lamuta and my colleague Zhaolin Gao for this work. In this work we demonstrated the most essential synaptic properties with geopolymer-based artificial synapses. These included Synaptic Plasticity, Potentiation-Depression, Short-term and Long-term memory, Spike-timing dependent plasticity, Spike-rate dependent plasticity, History dependent plasticity, etc. This article is open access and can be found here: https://lnkd.in/gCFhcsRX