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According to the news editors, the research concluded: "It underscores the importance of prioritizing nurses' well-being and job satisfaction to foster a resilient and effective healthcare system in India. Keywords: Health and Medicine; India; Science and Healthcare EN Health and Medicine India Science and Healthcare 3694 3694 1 10/03/23 20231006 NES 231006 2023 OCT 6 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Investigators publish new report on science and healthcare. [Extracted from the article]

A study conducted by researchers at Symbiosis International (Deemed University) in Maharashtra, India, explores the use of deep learning algorithms for the detection of tuberculosis (TB) through lung X-rays. The study found that implementing classification algorithms on segmented lungs, rather than the entire X-ray, increased the probability of detecting TB. The researchers achieved over 98% accuracy in lung segmentation using the U-Net++ algorithm, and compared its performance to three other benchmark segmentation architectures. This research contributes to the growing field of assistive medical systems that utilize artificial intelligence for proactive disease diagnosis. [Extracted from the article]

A new report discusses the implementation of the Competency-Based Medical Education (CBME) curriculum in Uttar Pradesh, India. The CBME curriculum was introduced in August 2019 and includes an Internal Assessment (IA) component in Phase I of medical education. The IA consists of formative and summative assessments and aims to assess various competencies. The report reviews the IA in Phase I based on CBME and previous research papers, highlighting the importance of regular feedback and remedial measures within the IA framework. The research was conducted by the Department of Anatomy at G.S. Medical College in Uttar Pradesh. [Extracted from the article]

A recent study conducted by researchers at XIM University in India explores the concept of "digital governance in transforming health systems" and its impact on healthcare accessibility and delivery. The study examines various digital health initiatives in India, such as the National Digital Health Blueprint and the Ayushman Bharat Digital Health Mission, and highlights the importance of interdisciplinary collaboration among key stakeholders. The researchers emphasize the need for robust public policies and governance mechanisms to shape a more equitable and digitally empowered healthcare ecosystem, ultimately contributing to the progress of Universal Health Coverage in India by 2030. [Extracted from the article]

A recent report discusses research conducted by Symbiosis International (Deemed University) on the topic of feminine hygiene product adoption in India, specifically from the perspective of gynecologists. The study utilized the theory of planned behavior (TPB) as a framework and involved in-depth interviews with 25 gynecologists. The research found that factors such as comfort and product knowledge play a significant role in shaping women's attitudes and intentions towards adopting feminine hygiene products. The study offers valuable insights for stakeholders in the healthcare industry, policymakers, and product manufacturers, emphasizing the need to normalize the acceptance of feminine hygiene products and promote their efficacy. This research contributes to the understanding of women's menstrual hygiene behavior and provides a foundation for further research and interventions. [Extracted from the article]

A study conducted at the University of Petroleum and Energy Studies in Dehradun, India, focused on analyzing subcortical structures in Alzheimer's disease using ensemble learning. The researchers aimed to improve the diagnosis and detection of Alzheimer's disease by examining the connections between neuroregions. The study found that the hippocampus, amygdala, and neuroregion were the most effective in detecting Alzheimer's disease, mild cognitive impairment, and cognitive normal. This research has been peer-reviewed and provides valuable insights into the early detection of Alzheimer's disease. [Extracted from the article]

Researchers from Deemed to be University in Rajasthan, India, have conducted a case study on the effectiveness of ayurvedic multimodal therapies in treating plantar warts caused by Human papilloma Virus (HPV). The study focused on a thirteen-year-old boy who was successfully treated with ayurvedic treatment modalities, including soaking feet in lukewarm triphala decoction, topical application of garlic paste with 777 oil, and an ayurvedic oral medication. The patient experienced complete clearance of the warts within 20 days and showed no signs of recurrence even after four years of follow-up. The researchers concluded that these holistic ayurvedic treatments are effective and safe for treating plantar warts. [Extracted from the article]

A recent study conducted by researchers at the Kalasalingam Academy of Research and Education in Krishnankoil, India, focused on the early identification of glaucoma, a serious eye disease that can cause irreversible damage to the eyes. The study proposed a novel glaucoma detection procedure using retinal images and the Scale-invariant feature transform (SIFT) method for feature extraction and clustering. The researchers developed a real-time glaucoma screening system using a convolutional neural network (CNN) classifier optimized with a combination of SIFT and Rooster Food Search optimization (RFSO) algorithms. The suggested technique achieved accuracy levels above 95% and performed well in clustering and classifier-related factors. The study provides research challenges and solutions to aid further research on glaucoma detection. [Extracted from the article]

A study conducted at the Bannari Amman Institute of Technology in Sathyamangalam, India, explores the use of a generative adversarial network (GAN) for the classification of melanoma skin types. The researchers aim to develop an autonomous technique for accurate melanoma detection using image analysis. The study concludes that the proposed TE-SAAGAN model is more effective than existing GAN protocols in recognizing test images. This research provides valuable insights into the potential of using GANs for early detection of skin cancer. [Extracted from the article]

A new study conducted by researchers at the Sigma Institute of Engineering in Gujarat, India, explores the use of deep learning techniques for the recognition of Monkeypox skin lesions. Monkeypox is a rare viral disease that can be difficult to diagnose, especially in resource-limited areas. The study examines various neural network architectures and image preprocessing techniques to improve the accuracy and efficiency of Monkeypox diagnosis. The research highlights the potential of deep learning models in early detection and intervention of Monkeypox and discusses the challenges and future directions in this field. [Extracted from the article]

A new report from researchers at the Ramrao Adik Institute of Technology in Maharashtra, India, explores the integration of machine learning and traditional image processing in dentistry. The study reviews the literature on deep learning and dental radiograph analysis, focusing on applications such as automatic teeth identification and numbering, caries and anomaly detection, disease detection, and dental treatment prediction. The researchers provide an overview of machine learning algorithms in these areas and discuss the available dental radiograph dataset for experiments. The study concludes by highlighting new research opportunities and initiatives in this field, offering a comprehensive overview of the growing area of machine learning in dentistry. [Extracted from the article]

A recent study conducted by researchers at Jaipur National University in India explored the potential risks of metal oxide nanoparticles (NPs) on pregnant individuals and developing fetuses. The study found that exposure to copper oxide (CuO) and nickel oxide (NiO) NPs led to a decrease in cell viability and increased cytotoxicity in human placental cells. However, the researchers discovered that solanesol, a compound with antioxidant properties, significantly reduced the toxicity generated by CuO and NiO NPs. Further research is needed to explore the potential therapeutic applications of solanesol in mitigating pregnancy complications caused by nanoparticle exposure. [Extracted from the article]

A recent study conducted at Vellore Institute of Technology in India explores the use of artificial intelligence and deep learning techniques to improve yoga posture recognition. The researchers developed an artificial algae optimizer with a hybrid deep learning-based yoga pose estimation model. By analyzing yoga video clips, the model can estimate the correct yoga pose and identify incorrect postures that may have negative effects on a person's health. The study found that the proposed technique outperformed existing methods in recognizing yoga poses. This research provides valuable insights for individuals interested in self-study of yoga and highlights the potential of technology in enhancing mind-body therapy practices. [Extracted from the article]

A recent study conducted by researchers at the National Institute of Technology Tiruchirappalli in Tamil Nadu, India, has proposed a new method for removing speckle noise from Optical Coherence Tomography (OCT) images. OCT is a non-invasive diagnostic tool used for detecting and treating retinal diseases, but the presence of speckle noise can degrade the quality of the images and impact diagnosis. The researchers developed a deep Convolutional Neural Network (CNN) architecture called DespNet, which generates residual images that contain the noise pattern of the input images. These residual images can then be subtracted from the noisy images to produce denoised versions that preserve texture and structure, aiding in retinal layer segmentation and diagnosis. The study's findings suggest that DespNet substantially reduces speckle noise in OCT images. [Extracted from the article]

A recent study conducted in Kerala, India, compared the effectiveness of periostin in peri-implant sulcular fluid (PISF) and gingival crevicular fluid (GCF) in diagnosing and monitoring periodontal disease. The study found that periostin levels in both PISF and GCF were similar and did not show statistically significant differences between patients with peri-implant disease and periodontitis. The researchers suggest that early biological markers of inflammation should be studied to improve treatment prognosis. This study provides valuable insights into the use of biomarkers in diagnosing and monitoring periodontal diseases. [Extracted from the article]

A study conducted by researchers at the Birla Institute of Technology in Jharkhand, India, focused on the standardization of an Ayurvedic formulation called Ajmodadi churna. The study aimed to develop an analytical method for estimating the constituents, pesticides, and antioxidant activity of the formulation. The researchers also investigated the conversion of churna into granules and compared in-house and marketed samples. The results showed the feasibility of the conversion process and provided evidence for a new approach to standardizing Ayurvedic formulations using modern techniques. [Extracted from the article]

A recent study conducted by researchers from Swami Vivekanand Subharti University in Uttar Pradesh, India, explores the effects of Vipassana meditation on mental and social well-being. Vipassana meditation is an ancient technique discovered by Buddha 2500 years ago and is considered a non-denominational scientific method of self-transformation through self-observation. The study found that practicing Vipassana meditation can lead to decreased stress, improved immune system function, decreased blood pressure and heart rate, increased sleep quality, and decreased chronic pain. These findings suggest that Vipassana meditation has the potential to bring about transformative changes in human life. [Extracted from the article]

Keywords for this news article include: All India Institute of Medical Sciences (AIIMS), New Delhi, India, Medical Science, Health and Medicine. Keywords: Health and Medicine; India; Medical Science EN Health and Medicine India Medical Science 4909 4909 1 04/17/23 20230421 NES 230421 2023 APR 21 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- New research on medical science is the subject of a new report. [Extracted from the article]

Keywords for this news article include: Federal University Goias, Goiania, Brazil, South America, India, Community Health, Health and Medicine. Keywords: Community Health; Health and Medicine; India EN Community Health Health and Medicine India 2023 FEB 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- A new study on community health is now available. [Extracted from the article]