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Cancer is a deadly disease often caused by the accumulation of various genetic mutations and pathological alterations. The death rate can only be reduced when it is detected in the early stages because treatment of cancer when the tumor has not metastasized in many regions of the body is more effective. However, early cancer detection is fraught with difficulties. Advances in artificial intelligence (AI) have developed a new scope for efficient and early detection of such a fatal disease. AI algorithms have a remarkable ability to perform well on a variety of tasks that are presented or fed to the system. Numerous studies have produced machine learning and deep learning-assisted cancer prediction models to detect cancer from previously accessible data with better accuracy, sensitivity, and specificity. It has been observed that the accuracy of prediction models in classifying fed data as benign, malignant, or normal is improved by implementing efficient image processing techniques and data segmentation augmentation methodologies, along with advanced algorithms. In this review, recent AI-based models for the diagnosis of the most prevalent cancers in the breast, lung, brain, and skin have been analysed. Available AI techniques, data preparation, modeling processes, and performance assessments have been included in the review.

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The aim of present study was to investigate the level of skin antioxidants and MDA in albino rats under stress of acute (1 day) and sub acute (30 days) artificial UVB exposure. Twenty healthy male albino rats (100-140 g) were taken for the present experiment. Rats were grouped into four sets (5 rats in each set). The Set A (Control set) and Set A1 (Control set) were not exposed to artificial UVB radiation while Set B was exposed to 0.44 J/cm 2 of artificial UVB radiation continuously for 10 hours for 1 day and Set B1 was exposed to 0.014 J/cm 2 of UVB radiation continuously for 20 min/day for 30 days. Results of study indicates a significant decrease in Catalase, SOD level and significant increase in MDA level in the skin of albino rats after acute and sub acute artificial UVB exposure. Present study also suggests decrease in SOD and Catalase content, while increase in MDA content in the skin of albino rats of Set B is more than the Set B1. Study concluded that the UVB radiation causes damage to the antioxidant system leads to decrease in Catalase and SOD level while induces the lipid peroxidation which increases MDA level in the skin of albino rat.

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