Artificial Intelligence: Catalyst for a Sust A I nable Future | Chapter 6 | Advancements in Science and Technology: Paving the Way to a Sustainable Future

Artificial Intelligence (A I) is transforming the approach to global challenges, offering innovative solutions for environmental, societal, and financial sust A I nability. This chapter explores how  A I  and Sust A I nability are connected and highlights how  A I  serves as a powerful catalyst in combating climate change, optimizing resource use, conserving biodiversity, improving healthcare access, fostering social equity, agriculture, urban infrastructure, circular economy, and equitable growth. Additionally, this chapter looks at how  A I  addresses critical challenges, such as high energy consumption, ethical considerations around data privacy, and economic disruptions.  This chapter examines how  A I -driven sust A I nability can be designed to benefit all communities equitably while distinguishing itself from conventional discussions on  A I  and sust A I nability. Unlike traditional approaches, it highlights  A I ’s role in driving scalable, predictive, and transformative change across multiple sectors, offering a fresh perspective on its potential to reshape sust A I nable development, which makes this chapter slightly different from other discussions av A I lable. This chapter would be of great benefit for policymakers, researchers, academicians, industry, leaders, and environmental advocates seeking to understand how  A I  can drive sust A I nable development. By using  A I  responsibly and working together globally we can unlock its full potential to create a greener, f A I rer, and more resilient future for everyone. This chapter takes a multidisciplinary approach to fostering collaboration and innovation, striving to achieve a seamless balance between scientific advancement and ecological sust A I nability.

 

Author (s) Details

 

Dr. Deepmala Kamboj
Department of Mathematics, Mukand Lal National College, Yamunanagar, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49473-39-3/CH6

Innovative Diagnostic Method Using Immunocytochemistry (Estrogen Receptor) for Diagnosis and Management of Breast Cancer | Chapter 15 | Current Progress in Medicine and Medical Research Vol. 9

This study proposed to evaluate the influence of Immunocytochemistry (ICC) on Fine Needle Aspiration Cytology (FNAC) using estrogen receptor (ER), in diagnosing conscience lesions, equating them to success standard Core Needle Biopsy with Immunohistochemistry (IHC). A total of 50 samples were composed and analyzed utilizing both FNAC and Core Needle Biopsy methods.For FNAC, the results demonstrated superior depiction: Sensitivity=100%, Specificity=100%, Diagnostic Accuracy=100%, Positive Predictive Value (PPV)=100%, and Negative Predictive Value (NPV)=100%.Similarly, the results for ICC using ER were too favorable: Sensitivity=100%, Accuracy=100%, Positive Predictive Value= 100% and Negative Predictive Value=100%.These verdicts suggest that ICC utilizing ER could be a part of a trustworthy alternative to the gold-standard demonstrative tests. This technique substantiates particularly valuable in positions where capability disadvantages prevent the use of the standard test. However, it is necessary to note that further studies with a best sample size are essential to generalize these results.Furthermore, this study complicated the utilization of theme dossier analysis on FNAC reports. The study revealed that nearly 11.35% of the dataset contained beneficial words, signifying that normalization processes can abridge the data and manage valuable for assisting dispassionate chart reviews and clinical resolution support systems.

Author(s) Details:

Rohith R. Nair,
J.S.S. Medical College, Mysore, Karnataka- 570015, India.

Sonali Nandish,
Department of Computer Science and Engineering, JSS Science and Technology University, Mysore, Karnataka - 570006, India.

R. J. Prathibha,
Department of Information Science and Engineering, JSS Science and Technology University, Mysore, Karnataka - 570006, India.

N. M. Nandini,
Department of Pathology, JSS Medical College and Hospital, Constituent of JSSAHER, Mysore, Karnataka - 570004, India.

Please see the link here: https://stm.bookpi.org/CPMMR-V9/article/view/11699