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¼¼°è Á¦¾à ºÐ¾ßÀÇ Á¤¹ÐÀÇ·á ¹× ¸ÂÃãÇü ÀÇ·á- ÁÖÁ¦º° ÀÎÅÚ¸®Àü½ºPrecision and Personalized Medicine in Pharma - Thematic Intelligence |
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ÀÌ º¸°í¼´Â Á¦¾à ºÐ¾ßÀÇ Á¤¹ÐÀÇ·á(Precision Medicine) ¹× ¸ÂÃãÇü ÀÇ·á(Personalized Medicine)¿¡ ´ëÇÑ Á¶»ç ¹× ºÐ¼®°ú ÀÌ¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â ÀÇ·á, °Å½Ã°æÁ¦, ±â¼ú, ±ÔÁ¦ µ¿Çâ¿¡ ´ëÇÑ Á¤º¸¸¦ Á¦°øÇÕ´Ï´Ù.
Precision and personalized medicine has already begun to reshape disease treatment paradigms and the provision of healthcare. Improved patient outcomes, increased quality of life, reduced financial and time expenditure of disease management with curative therapies, and a shift from reactive to proactive care are all driving investment in R&D in this space.
The digital transformation of the healthcare industry is driving the development of new diagnostics and therapeutics for precision and personalized medicine. For example, advances in biomarker testing with next-generation sequencing (NGS) are improving patient selection, use of artificial intelligence (AI) in identifying trends in big datasets is accelerating the time from drug discovery to commercialization, and the use of Industry 4.0 technologies, such as robotics, cloud, and the Internet of Things (IoT), is improving the quality and efficiency of manufacturing complex drugs such as cell and gene therapies.
Drug pricing and reimbursement will continue to be the greatest challenge to the adoption of precision and personalized medicines, as governments look to reduce drug prices to increase market access during a time of macroeconomic turbulence, while drug developers argue that price drops stifle innovation. Traditional approaches to reimbursement do not work for drugs such as cell and gene therapies, and only the adoption of novel models will help to balance market access with profitability.