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<xml><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>15</Volume><Issue>17</Issue><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2023</Year><Month>September</Month><Day>11</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>&#xD;
	Human Papillomavirus(HPV) Vaccination in India: Challenges and The Way Forward&#xD;
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</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>01</FirstPage><LastPage>02</LastPage><AuthorList><Author>Shivangi Agarwal</Author><AuthorLanguage>English</AuthorLanguage><Author> Hephzibah Blessy Jangili</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>&#xD;
	The World Health Organisation understands the importance of routine HPV vaccinationin national immunisation regimens because cervical cancer and other HPV-related illnesses are major global public health issues. Regardless of the Indian government&#x2019;s efforts to include HPV vaccination in the National Immunisation Programme and decrease vaccine costs, there are significant barriers to vaccination implementation in India, including insufficient epidemiological evidence for illness prioritisation, vaccine duration, parental attitudes, and vaccine acceptance. Research studies should consider the wider context of improving life-long immunisation, comprehensive adolescent primary health care, and screening of cervical cancer. Educational measures for healthcare staff, followed by socially and culturally sensitive public awareness campaigns, are critical to meeting the WHO objective of eliminating cervical cancer by 2030.&#xD;
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</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Cervical cancer, HPV vaccine, Human papillomavirus, Prevention</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=4760</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=4760</Fulltext></URLs><References>&#xD;
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</References></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>15</Volume><Issue>17</Issue><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2023</Year><Month>September</Month><Day>11</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>&#xD;
	Artificial Intelligence in Medical Diagnostics and Drug discovery: A Review&#xD;
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</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>03</FirstPage><LastPage>10</LastPage><AuthorList><Author>Varahalarao Vadlapudi</Author><AuthorLanguage>English</AuthorLanguage><Author> Sandeep Kulkarni</Author><AuthorLanguage>English</AuthorLanguage><Author> Dowluru SVGK Kaladhar</Author><AuthorLanguage>English</AuthorLanguage><Author> Mutyala Naidu Laguda</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>&#xD;
	Artificial intelligence (AI) is the field of computer sciences devoted to building smart machines capable of performing tasks that typically require human-level intelligence. The application of novel technologies like AI, machine learning (ML) and Deep learning (DL) in medical diagnostics could play a role in transforming the future of health care. Artificial neural networks such as deep neural networks or recurrent networks drive this area. AI helping patient care and intelligent health systems. AI can analyse identifying and diagnosing diseases more accurately and quickly. DL (a subset of ML) constitute the virtual component of AI plays a pivotal role in drug discovery. The widespread adoption of ML, in particular DL, in multiple scientific disciplines, and the advances in computing DL hardware and software, among other factors, continue to fuel this development-based approaches have only begun to address some fundamental problems in drug discovery. Research and development work is going worldwide. Here we tried to present AI application in various fields from health sector to drug discovery. We analysed the literature through PubMed and other ways of scientific search engines and also understand AI applications and presented in this paper. The finding are significant and understand how computational power is applied in the development of AI, its growing amount of digitized data, are analysed with accuracy and speed by AI. In this review, we discuss the basics of AI followed by an outline of its application in medical diagnostics and drug discovery.&#xD;
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</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Artificial intelligence, Machine learning, Deep learning, Health care, Algorithms, Drug discovery</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=4761</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=4761</Fulltext></URLs><References>&#xD;
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</References></Article></ArticleSet><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume>15</Volume><Issue>17</Issue><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2023</Year><Month>September</Month><Day>11</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>&#xD;
	Evaluation of Blood Pressure in Preterm Newborn and Long-Term Impacts of Hypotension on Neonatal Health&#xD;
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</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>11</FirstPage><LastPage>15</LastPage><AuthorList><Author>Mannan MA</Author><AuthorLanguage>English</AuthorLanguage><Author> Wahab A</Author><AuthorLanguage>English</AuthorLanguage><Author> Yasmin F</Author><AuthorLanguage>English</AuthorLanguage><Author> Hossain MA</Author><AuthorLanguage>English</AuthorLanguage><Author> Akter S</Author><AuthorLanguage>English</AuthorLanguage><Author> Moni SC</Author><AuthorLanguage>English</AuthorLanguage><Author> Jahan I</Author><AuthorLanguage>English</AuthorLanguage><Author> Chowdhury RM</Author><AuthorLanguage>English</AuthorLanguage><Author> Shahidllah M</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>&#xD;
	Introduction: Blood pressure values of too low or too high can be related with serious morbidity and mortality. Neonatal hypotension has been found to be related with serious short term as well as significant long term health complications. Thus identifying this low blood pressure in preterm neonates with its long term impacts is crucial.&#xD;
	Objectives: To evaluate blood pressure values in preterm newborn and long-term impacts of hypotension on neonatal health.&#xD;
	Methods: This prospective observational study was conducted in Neonatal Intensive Care Unit (NICU) of Bangabandhu Sheikh Mujib Medical University a tertiary care hospital of Dhaka city after approval from Institutional Review Board for a period of two years. Neonates having gestation</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Preterm, Hypotension, Neurodevelopmental Outcome, Morbidity, Mortality, Hemodynamic.</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=4762</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=4762</Fulltext></URLs><References>&#xD;
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