By: Karan Kamble
A study employed machine learning to predict and catalogue antimicrobial peptides from the global microbiome. It has led to a database of nearly 9 lakh new antibiotics.
Karan Kamble is an Assistant Copy Editor at Swarajya. He focuses on themes related to science and technology, particularly in the realms of artificial intelligence, natural sciences, and software, with a keen interest in topics such as India, space exploration, and startups. Karan's insights and analyses have been featured in Swarajya, where he contributes to discussions on the intersection of technology and society.
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Karan Kamble's coverage primarily focuses on scientific achievements, particularly in the realm of space exploration, astrophysics, and Indian technological advancements. Given this focus, he would likely be receptive to pitches centered around exclusive interviews or insights from experts within the space research community.
Considering his emphasis on government announcements and press releases as attributes for coverage, Karan seems inclined towards official statements and initiatives. This suggests a preference for pitches that align with significant governmental or organizational developments related to Indian space research and technological advancements.
It's important to note that while Karan's geographic focus is national (India), his topics covered extend beyond India's borders due to the nature of space exploration and scientific achievements being global endeavors. Therefore, when pitching stories or sources related to these topics, it may be beneficial to highlight their relevance or impact specifically within an Indian context.
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