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<title>Journal of Medical Sciences - Current Issue</title>
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<description>Journal of Medical Sciences</description>
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<copyright>Science Alert</copyright>
<pubDate>Wed, 10 Jun 2026 18:11:57 +0200</pubDate>
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<title>Journal of Medical Sciences - Current Issue</title>
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<description>Journal of Medical Sciences</description>
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Redefining Biomolecular Frontiers: The Impact of Artificial Intelligence in Biochemistry and Medicine<title><![CDATA[Redefining Biomolecular Frontiers: The Impact of Artificial Intelligence in Biochemistry and Medicine]]></title> 
<description><![CDATA[<p>Artificial Intelligence (AI) is redefining the frontiers of biochemistry and medicine by enhancing molecular understanding, diagnostic precision and therapeutic discovery. This review examines the transformative roles of AI across key biomedical domains, including medical imaging, disease prediction, protein structure modeling, drug development, enzyme engineering and multiomics integration. Deep learning architectures, such as convolutional neural networks and transformers, now surpass traditional diagnostic approaches in accuracy and efficiency, particularly in neuroimaging for conditions like Alzheimer&rsquo;s disease. Tools like AlphaFold2 and generative models (e.g., ChemBERTa, MolGPT) have revolutionized protein structure prediction and de novo drug design. AI-driven strategies also empower personalized medicine through real-time health monitoring, wearable integration and omics-based systems biology. Despite these advances, challenges remain including data heterogeneity, model interpretability, ethical concerns and global disparities in AI access. This manuscript addresses these barriers by highlighting solutions such as explainable AI, open-source platforms and international collaboration. Furthermore, emerging applications, including AI-enhanced microplastic toxicology, sleep biochemistry, herbal compound modeling and gut microbiota host interaction mapping, illustrate the interdisciplinary breadth and future potential of AI in biochemistry. By synthesizing foundational developments with next-generation innovations, this review affirms AI&rsquo;s role as a catalyst for accelerating discovery, improving healthcare equity and reshaping the molecular sciences for the next era of research and clinical translation.</p>]]></description>
<link>https://scialert.net/abstract/?doi=jms.2025.1.10</link> 
<pubDate>10 June, 2026</pubDate>
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Evaluation of Physiological Parameters, Pain Response and Postoperative Complications Following Ovariohysterectomy in Cats<title><![CDATA[Evaluation of Physiological Parameters, Pain Response and Postoperative Complications Following Ovariohysterectomy in Cats]]></title> 
<description><![CDATA[<b>Background and Objective:</b>  Ovariohysterectomy, commonly referred to as spaying, is a surgical procedure performed on a female cat to remove the uterus and ovaries. The approach is primarily carried out to prevent reproduction and provide various health and behavioral benefits. This study aimed to examine the physiological and surgical outcomes of two common ovariohysterectomy approaches, paramedian and flank, in cats. <b>Materials and Methods:</b>  A total of 100 female intact cats were chosen using purposive random sampling techniques, with a systematic process for this study during January, 2023 to December, 2024. Chi-square test, t-test and ANOVA tests were used to determine the significance level of 0.05. <b>Results:</b>  Physiological parameters such as pulse rate, respiration rate and body temperature showed notable differences between the two methods. Paramedian ovariohysterectomy was linked to a greater risk of hypothermia during surgery, while flank ovariohysterectomy demonstrated more stable physiological responses. Recovery times, incision lengths and surgical durations also differ significantly, with flank ovariohysterectomy associated with shorter operation times, smaller incisions and faster recovery than the midline approach. Post-surgical pain assessments revealed similar patterns for both techniques, with pain peaking at 12 hrs and significantly decreasing by 24 hrs. Analysis of post-surgical lesions showed no significant differences in discharge, edema, erythema, or licking between the two methods, although dehiscence was significantly more common with midline ovariohysterectomy (p&lt;0.05). <b>Conclusion:</b>  Flank ovariohysterectomy has more advantages in terms of faster recovery, less invasiveness and more consistent physiological stability. The results will contribute to refining surgical practices and improving postoperative care in veterinary medicine.]]></description>
<link>https://scialert.net/abstract/?doi=jms.2025.11.17</link> 
<pubDate>10 June, 2026</pubDate>
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