Approximately one in every thousand children develops a urethral stricture, sometimes even when they are still a foetus in the womb.
In order to prevent life-threatening levels of urine from accumulating in the bladder, paediatric surgeons like Gaston De Bernardis at the Kantonsspital Aarau have to surgically remove the affected section of the urethra and sew the open ends of the tube back together again.
It would be less damaging to the kidneys, however, if a stent could be inserted to widen the constriction while the foetus is still in the womb.
Stents have been used to treat blocked coronary vessels for some time now, but the urinary tract in foetuses is much narrower in comparison.
It's not possible to produce stents with such small dimensions using conventional methods, which is why De Bernardis approached the Multi-Scale Robotics Lab at ETH Zurich.
The lab's researchers have now developed a new method that enables them to produce highly detailed structures measuring less than 100 micrometres in diameter, as they report in a recently published journal article.
Thin films made of carbon nanotubes hold a lot of promise for advanced optoelectronics, energy and medicine, however with their manufacturing process subject to close supervision and stringent standardization requirements, they are unlikely to become ubiquitous anytime soon.
"A major hindrance to unlocking the vast potential of nanotubes is their multiphase manufacturing process which is extremely difficult to manage.
We have suggested using artificial neural networks (ANN) to analyze experimental data and predict the efficiency of single-walled carbon nanotubes synthesis," explains one of the authors of the study and Skoltech researcher, Dmitry Krasnikov.
In their work published in the prestigious Carbon journal, the authors show that machine learning methods, and, in particular, ANN trained on experimental parameters, such as temperature, gas pressure and flow rate, can help monitor the properties of the carbon nanotube films produced.
"The development of human civilization and the advancement of the materials manufacturing and application technologies are closely interlinked in the era of information and technology, with both materials and computational algorithms and their applications shaping our day-to-day life.
This is equally true for ANN that have evolved into an indispensable tool for dealing with multi-parameter tasks, which run the gamut from object recognition to medical diagnosis.
Dr. Chipde was born and brought up in Aurangabad and completed his medical degree from Dr. B.A.M.
He went to All India Institute of Medical Sciences, New Delhi for his Master’s (surgery) and After completion of his master’s, He Joined M.ch in Urology, from Sanjay Gandhi Postgraduate Institute of medical sciences, Lucknow .Age doesn’t matter, says Dr. SAURABH, as at a very early age he started his courier as Senior Residend Surgeon in A.I.I.M.S, New Delhi.
And then he joined Sri Aurobindo Institute of Medical Sciences Indore as Assistant professor, and currently working as an Associate Doctor in Urology and Renal Transplantation in S.A.I.M.S, IndoreHe is also trained in Fundamental skills of robotic-assisted surgery curriculum (FSRS), from Roswell Park Cancer Institute, Buffalo, New York.
He is the one who performed the First Robotic Prostate Surgery in Central India.Dr.
Saurabh Chipde offers a host of treatments that cater to the various ailments faced by their male and female patients.
Few of the ailments treated here are Urinary Tract Infections (UTI), Incontinence, Male Infertility, Kidney Diseases, Renal Transplantation, Bladder Prolapse, Interstitial Cystitis Or Painful Bladder Syndrome, Kidney and Ureteral Stones, Urethral Stricture and Paediatric Urological Disorders to name a few.
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