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- 저자 : Reddy Rohit (검색결과 4 건)
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SARS-CoV-2 in the Prostate: Immunohistochemical and Ultrastructural Studies
Reddy Rohit,Farber Natoli,Kresch Eliyahu,Seetharam Deepa,Diaz Parris,Ramasamy Ranjith 대한남성과학회 2022 The World Journal of Men's Health Vol.40 No.2
The novel coronavirus SARS-CoV-2 was discovered in 2019 and has proven to be a significant public health challenge. While viruses from the coronavirus family have been established as causes of respiratory tract infections, SARS-CoV-2 has also been found in the heart, kidney, testes, and penis. This paper investigates whether SARS-CoV-2 can linger in the prostate by examining the histopathological, ultrastructural, and immunofluorescent elements of prostatic tissue from a patient who was infected by the SARS-CoV-2 virus prior to having a holmium laser enucleation of the prostate (HoLEP) procedure. The findings of this case report suggest that COVID-19 has both the ability to enter prostatic tissue during an acute infection and persist over a timeframe beyond the initial infection period as RNA-containing viral bodies. This case report lays the founda-tion for future investigations to examine any histopathological changes to the prostatic tissue that may be associated with SARS-CoV-2 viral infection.
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Rohit Kumar,Rahul Meel,Dr. B. Sandeep Reddy 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
The PIT (Precision Immobilization Technique) maneuver is a pursuit tactic used by law-enforcement officials to handle dangerous vehicle pursuit situations, wherein a pursuing car can force a fleeing car to turn sideways abruptly, causing the driver to lose control and stop. Such maneuvers have pitfalls, in that they require sufficient skill on the part of the driver to be carried out. Furthermore, given the utilization of electronic stabilizing control systems in modern vehicles, manual PIT maneuvers require more precision to be carried out. However, the previous decades have also undergone significant changes, in particular the development of autonomous driving technologies, which are now available in commercial vehicles. Autonomous PIT maneuvers could be the next step in handling dangerous vehicle pursuits of fugitives. But for autonomous execution of such maneuvers, accurate path planning and obstacle avoidance must be carried out first. This work presents the implementation of path optimization technique along with obstacle avoidance in simulation environment as well as in physical environment for execution of autonomous PIT maneuvering. Path optimization ensures that the bullet vehicle arrives at the specific point where the PIT maneuver is carried out. An important path optimization method has been utilized to accomplish the goal. Furthermore, obstacle avoidance is integrated with path optimization to avoid mid-way stationary obstacles, thereby adding a more realistic scenario for the same. This paper makes a simplifying assumption that the target vehicle is stationary or moving at a constant velocity, which can be extended by future work to a more realistic scenario involving accelerated target vehicle.
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Tradewell Michael B.,Cazzaniga Walter,Pagani Rodrigo L.,Reddy Rohit,Boeri Luca,Kresch Eliyahu,Morgantini Luca A.,Ibrahim Emad,Niederberger Craig,Salonia Andrea,Ramasamy Ranjith 대한남성과학회 2022 The World Journal of Men's Health Vol.40 No.4
Purpose: To predict the probability of azoospermia without a semen analysis in men presenting with infertility by developing an azoospermia prediction model. Materials and Methods: Two predictive algorithms were generated, one with follicle stimulating hormone (FSH) as the only input and another logistic regression (LR) model with additional clinical inputs of age, luteinizing hormone, total testosterone, and bilateral testis volume. Men presenting between 01/2016 and 03/2020 with semen analyses, testicular ochiodemetry, and serum gonadotropin measurements collected within 120 days were included. An azoospermia prediction model was developed with multi-institutional two-fold external validation from tertiary urologic infertility clinics in Chicago, Miami, and Milan. Results: Total 3,497 participants were included (n=Miami 946, Milan 1,955, Chicago 596). Incidence of azoospermia in Miami, Milan, and Chicago was 13.8%, 23.8%, and 32.0%, respectively. Predictive algorithms were generated with Miami data. On Milan external validation, the LR and quadratic FSH models both demonstrated good discrimination with areas under the receiver-operating-characteristic (ROC) curve (AUC) of 0.79 and 0.78, respectively. Data from Chicago performed with AUCs of 0.71 for the FSH only model and 0.72 for LR. Correlation between the quadratic FSH model and LR model was 0.95 with Milan and 0.92 with Chicago data. Conclusions: We present and validate algorithms to predict the probability of azoospermia. The ability to predict the probability of azoospermia without a semen analysis is useful when there are logistical hurdles in obtaining a semen analysis or for reevaluation prior to surgical sperm extraction.
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Vemuri, Ravi Chandra,Jarecha, Rudresh,Hwi, Kim Kah,Gundamaraju, Rohit,MaruthiKanth, Aripaka,Kulkarni, AravindRao,Reddy, Sundeep Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.5
Cancer, like any disease, is a pathologic biological process. Drugs are designed to interfere with the pathologic process and should therefore also be validated using a functional screening method directed at these processes. Screening for cancers at an appropriate time and also evaluating results is also very important. Volumetric measurement helps in better screening and evaluation of tumors. Volumetry is a process of quantification of the tumors by identification (pre-cancerous or target lesion) and measurement. Volumetric image analysis allows an accurate, precise, sensitive, and medically valuable assessment of tumor response. It also helps in identifying possible outcomes such disease progression (PD) or complete response as per Response Evaluation Criteria in Solid Tumors (RECIST).
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