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In order to overcome obstacles in diagnosis, surveillance, treatment, and vector control, artificial intelligence (AI) has emerged as a crucial weapon in the fight against malaria. The eradication of malaria has benefited greatly from the exceptional accuracy and efficiency of AI-driven solutions. This review of the literature examines several uses of AI in the fight against malaria, emphasizing new developments. AI-driven solutions have the potential to improve malaria prevention and eradication efforts with sustained innovation and investment, ultimately enhancing global health security. AI is transforming the treatment of malaria by facilitating personalised medicine, speeding up drug discovery, and enhancing diagnostics. AI is improving treatment approaches and tackling the problems caused by drug-resistant malaria parasites through machine learning, deep learning, and in silico drug repurposing. Achieving long-term malaria eradication targets will require sustained investment in AI-driven malaria research. In epidemiological tracking, artificial intelligence (AI) has also become a potent instrument. AI-driven methods offer creative ways to find novel treatment approaches, maximize drug discovery, and forecast the dynamics of malaria transmission, especially in light of the growing resistance of Plasmodium parasites to current medications. Thus, this review paper provides insights into the developments made by AI in combating malaria.
Neglected tropical diseases as termed by World Health Organization include a group of 20 diverse infectious diseases in the tropical and subtropical regions of the world. Amongst these diseases, high mortality rate is mostly associated with Chagas disease and leishmaniosis due to limited drugs, severe toxicity caused by the available drugs and drug resistance. The above hitches have triggered the researchers to focus on the development of novel alternative therapeutics. Studies reveal that several target-based drugs have emerged which affect the biochemical pathways of the causative parasite. An anti-cancerous molecule and its derivatives might be used as antiprotozoal agents due to biochemical similarities affecting DNA metabolism. Cisplatin is a widely used drug for the treatment of testicular, ovarian, head and neck cancers, melanoma, lymphomas and several others. It exerts anticancer activity via multiple mechanisms but most effective mechanism is binding with DNA, formation of intrastrand and interstrand cross-links and generation of DNA lesions. However, side effects of cisplatin limit its application and effectiveness in the cancer treatment. Moreover, to minimize the side effects of cisplatin, combination therapies are used and have proven to be effective against cancers. Thus, current review is aimed at highlighting potential of cisplatin alone and in combination therapies as an antileishmanial agent.
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