School Of Health Sciences
Permanent URI for this communityhttps://kr.cup.edu.in/handle/32116/102
Browse
2 results
Search Results
Item Artificial Intelligence Bringing Newer Paradigms in the Diagnosis, Treatment, and Management of Psoriasis(Springer, 2023-10-04T00:00:00) Sharma, Ravi Kant; Sharma, Manu Rashmi; Mahendra, Aneet; Sharma, Ujjawal; Singh, Simranjit; Ramniwas, Seema; Sharma, Anil KumarPurpose of Review: As we know, psoriasis is the most prevalent chronic inflammatory skin condition due to aberrant immune response which is characterized by clearly demarcated red or pink thick raised skin plaques sometimes covered with dry thin silvery white scales, formed due to the cytokine-driven hyperproliferation of epidermal keratinocytes. The abnormal functioning of immune-inflammatory pathways can cause various systemic conditions including cardiovascular diseases, chronic renal disease, and metabolic syndrome. Recent Findings: In comparison to other dermatological conditions, psoriasis has greater impact on the mental health of patients leading to increased risk of psychiatric comorbidities such as depression and anxiety.�The Articial intellingence could automate the analysis and provide contextual relevance, enhance clinical reliability,�assist the clinicians in communicating objectively, minimize human fatigue related errors, decrease mortality rates,�save medical expenditures and help in easy and early diagnosis of diseases including psoriasis. Summary: Therefore, development of better approaches for the diagnosis of psoriasis and determination of its classification type and severity are necessary for disease control and management and are the need of the hour. The artificial intelligence (AI) applications in medicine and healthcare are recently emerging due to advanced computing technologies and availability of abundant data on a variety of diseases including psoriasis. Hence, AI will certainly be a boon for the early detection and management of psoriasis patients necessitating further research in this area. � 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.Item Components of IGF-axis in growth disorders: a systematic review and patent landscape report(Springer, 2022-05-06T00:00:00) Singh, Amit; Pajni, Ketan; Panigrahi, Inusha; Dhoat, Navdeep; Senapati, Sabyasachi; Khetarpal, PreetiPurpose: In this review, epi/genetic mutations of IGF-axis components associated with growth disorders have been summarized alongwith assessment of relevant diagnostic and therapeutic technology through patent literature. Methodology: PROSPERO protocol registration CRD42021279468. For scientific literature search Literature databases (PubMed, EMBASE, ScienceDirect, and Google Scholar) were queried using the appropriate syntax. Various filters were applied based on inclusion and exclusion criteria. Search results were further refined by two authors for finalizing studies to be included in this synthesis. For patent documents search Patent databases (Patentscope and Espacenet) were queried using keywords: IGF or IGFBP. Filters were applied according to International Patent Classification (IPC) and Cooperative Patent Classification (CPC). Search results were reviewed by two authors for inclusion in the patent landscape report. Results: For scientific literature analysis, out of 545 search results, 196 were selected for review based on the inclusion criteria. For Patent literature search, out of 485 results, 37 were selected for this synthesis. Conclusion: Dysregulation of IGF-axis components leads to various abnormalities and their key role in growth and development suggests epi/mutations or structural defects among IGF-axis genes can be associated with growth disorders and may explain some of the idiopathic short stature cases. Trend of patent filings indicate advent of recombinant technology for therapeutics. � 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.