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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>17</Volume><Issue>7</Issue><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2025</Year><Month>April</Month><Day>11</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>&#xD;
	Integrating Herbal Medicine and Artificial Intelligence in Cancer Identification and Treatment: A Review Article&#xD;
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</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>01</FirstPage><LastPage>04</LastPage><AuthorList><Author>Geeta Chaudhary</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>&#xD;
	Cancer remains one of the most challenging diseases to treat, necessitating novel and integrated approaches for its identification and management. This review explores the potential synergy between herbal medicine and artificial intelligence (AI) in the realm of cancer diagnosis, prognosis, and treatment. Herbal medicine offers a vast repertoire of bioactive compounds with therapeutic potential, while AI algorithms provide sophisticated analytical tools for data processing and pattern recognition. By integrating these two domains, promising avenues for personalized and targeted cancer care emerge. This review critically examines the current landscape, challenges, and future prospects of leveraging herbal medicine and AI in the fight against cancer.&#xD;
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</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>AI algorithms, Cancer detection, Herbal Drugs, Cancer treatment, Malignant transformation, Herbal Therapies.</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=4847</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=4847</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>17</Volume><Issue>7</Issue><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2025</Year><Month>April</Month><Day>11</Day></PubDate></Journal><ArticleType>Healthcare</ArticleType><ArticleTitle>&#xD;
	Weed Flora in Transplanted Black Rice Fields of Village Khajuri in Bilaspur District of Chhattisgarh, India&#xD;
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</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>05</FirstPage><LastPage>08</LastPage><AuthorList><Author>Indu Kaushal</Author><AuthorLanguage>English</AuthorLanguage><Author> Veenapani Dubey</Author><AuthorLanguage>English</AuthorLanguage><Author> Mantosh Kumar Sinha</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><Abstract>&#xD;
	Introduction: There are many species of rice grown all over the world. One of the special species is black rice, which is also known as forbidden rice or purple rice, and it is mainly cultivated in Asia. The production of black rice is directly influenced by the infestation of weeds. Weeds are defined as unwanted plants or non-crop plants that are growing alongside crop plants in the same agricultural fields, which decreases crop yields and creates major problems for farmers.&#xD;
	Aim/Objectives: This study aimed to investigation, identification and documentation of the weed flora of black rice fields of village Khajuri in Bilaspur district of Chhattisgarh, India.&#xD;
	Materials and Methods: A field survey at regular intervals was conducted in the black rice fields of Khajuri village in Bilaspur district of Chhattisgarh from June to November 2023. The weeds were collected and identified with the help of authentic flora.&#xD;
	Results: Identification of weeds revealed 38 species belonging to 14 families, distributed by 11 dicot families with 21 genera and 22 species and 03 monocot families belonging to 11 genera and 16 species. The dicot and monocot ratio were observed as 11: 03.Thus, 79% weed species were found as dicots, and 21% were monocots. This clearly shows that the appearance of dicot species was greater than that of monocot species. Echinochloa colona (L.) Link, Paspalum scrobiculatum (L.), Fimbristylis miliacea (L.) Vahl, Alternanthera sessilis (L.) DC. Eclipta prostrata (L.), Ammannia baccifera L, Ludwigia perennis L., Commelina benghalensis L. were found as some major weeds in the study area.&#xD;
	Conclusion: It is concluded that the study of weed flora of black rice fields of study area gives us valuable information about weeds. This study may provide basic information for making better weed management strategies.&#xD;
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</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Black rice, Bilaspur, Cyperaceae, Dicot, Khajuri, Weed flora</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=4852</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=4852</Fulltext></URLs><References>&#xD;
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