Science & Technology MCQs - 2026-08-23

The most significant impact of AI in early disease detection is its ability to identify diseases at their nascent stages. This enables earlier medical intervention, which is crucial for more effective treatment, better patient outcomes, and potentially higher survival rates, while also reducing the burden on healthcare systems.

Integrating genomic sequencing data with AI models allows for the identification of genetic predispositions, biomarkers, and personalized risk profiles. This provides a more predictive and tailored approach to early disease detection and preventive healthcare.

Convolutional Neural Networks (CNNs) are highly effective for image recognition and analysis tasks. Their ability to automatically learn spatial hierarchies of features makes them ideal for processing medical images to detect anomalies indicative of early disease.

Frequency reuse and spot beam technologies allow advanced communication satellites to utilize the same frequency spectrum multiple times over different geographical areas. This significantly increases the overall throughput and capacity of the satellite, enabling more users and higher data rates.

The Geosynchronous Satellite Launch Vehicle Mark III (LVM3), formerly known as GSLV Mk III, is ISRO's heaviest operational launch vehicle. It is capable of placing 4-ton class satellites into GTO, making it suitable for launching advanced communication satellites.

Advanced High Throughput Satellites (HTS) like ISRO's GSAT-N2 primarily operate in the Ka-band. This band offers higher bandwidth and data rates, enabling services such as high-speed internet, digital communication, and broadband connectivity.