Drug Discovery: Opening a New Path to Mankind's Wellbeing

By CIOReview | Tuesday, February 26, 2019

Living on the philosophy that a lot is always better when little is good, has led man to dangerous positions. An individual can damage his eyes after overdosing himself on administered liquid sildenafil citrate—a key component in erectile dysfunction drug. Although the said drug causes visual disturbance under standard dosage, the symptoms typically resolve within 24 hours. The symptom includes red tinted vision in both the eyes after consuming around four to five times the recommended dose, 25 to 100 milligrams, depending on the patient and accordingly after the doctor's prescription. The patient can suffer from permanent damage to the outer retina, after being diagnosed with persistent retinal toxicity, despite various treatments.

AI is growing exponentially improving healthcare with its vast abilities to collect, analyze, and deploy solutions and reports efficiently. AI-driven tools encourage companies to develop theories for paving a way to precision medicine through a development approach. AI developers and drug manufacturers will focus on treating rare and chronic diseases. AI-based technology companies ensure clinical transcription of diagnostic, therapeutic, and theranostic developments.

Drug discovery faces certain challenges in today’s world. Drug discovery is a complex, time consuming, and costly process, tangled with a high probability that the drug would fail. Target identification is challenging as the pathophysiology is unknown for many nervous system disorders. Emphasizing more on human data leads to improved target identification. Sometimes, animal models often cannot recapitulate an entire disorder.

Key applications of AI technologies in pharmaceuticals are many. Drug development helps in disease modeling, drug design and development, drug repurposing, and lead identification. AI helps run pre-clinical trials and investigational new drug process. AI technologies support everything from designing the experiment to identifying a patient through the collected data and analysis. It regulates the approval of application and process, safety updates, and labeling. AI technologies also accelerate the development of preventive and personalized care, treatment surveillance, and adaptive models.

The future of AI promises incredible opportunities. AI will be implemented throughout soon enough and will be the reason behind the betterment of millions of lives. The aim for healthcare-related AI applications will be to analyze and establish a relationship between prevention and treatment.

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