دانلود کتاب تشخیص، درمان و اخلاق زیستی در نانوپزشکی سرطان مبتنی بر هوش مصنوعی

Nanomedicine field is evolving with drug formulation and their multifunctional approaches to act smartly in its therapeutic and diagnostic function . Nanomedicine-based drug therapy, are normally explored at a fixed dose. Which creates insistent challenges at any given point of time as, the drug synergy is time-dependent, dose-dependent and moreover patient-specific. To overcome this challenge application of artificial intelligence (AI) along with nanomedicine can serve as a helping tool for optimizing the drug and dose parameters. Conversion between these two fields enables upgradation of patient data acquisition, improved design of nanomaterials. In cancer the high intratumor and interpatient heterogeneity behaviour is quite difficult to plan for a rational therapeutic design and further to analyse their output is extremely difficult. In this scenario application and integration of AI based approaches such as pattern analysis and algorithms models can bridge the gap, for improved accuracy of diagnostics and therapeutics. With the help of AI algorithms large datasets can be processed, complex patterns can be exploited for improvement of nanotechnology based design for cancer diagnostics and treatments. Application of precision cancer nanomedicine is highly essential as every patient is unique. Patient groups have varied differences, such as age, gender, height, eye color, blood type as well as unique molecular signatures, which leads to different phenotypic changes and wide-ranging of drug responses amongst patients. Further, patients vary substantially with regard to the dosages needed to attain drug synergy, and desirable degree of drug exposure to reach optimal treatment outcomes. Optimization of dosing in oncology highly essential, often dose reductions are implemented to manage treatment-related toxicity and it faces key challenges while translating it to a clinical practice for dosing establishment. This type of challenges can be addresses via recent advances in AI. In this regard, AI plays a critical role in reconciling this space into an actionable treatment response.