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AI, machine learning to help Indian pharma industry to pivot on innovation

Business Standard LogoBusiness Standard14h ago

AI, machine learning to help Indian pharma industry to pivot on innovation - Business Standard

Quick Summary:

As technological advancements like AI, machine learning and precision medicine revolutionise drug discovery, manufacturing and patient care, Indian pharmaceutical industry is set for a 'profound transformation' in 2025 with innovation, wider global access and improvement in quality becoming key themes for the future.

The industry, which is expected to grow nearly two-fold to around USD 130 billion in size by 2030, is looking to take advantage of conducive policies, demographic and digital talent, in making India play a pivotal role in advancing global health for all.

Currently accounting for around 20 per cent of the overall generic drug sales globally, the Indian pharma industry is focussing on research excellence and innovation in order to position the country as a global hub for high-quality, affordable pharmaceuticals.


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Article Details

Category: BusinessFinance

Markets:

Topics:

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-12-26 @ 11:36:31 (14 hours ago)

News Timezone: GMT +5:00

News Source URL: business-standard.com

Language: English

Article Length: 1036 words

Reading Time: 6 minutes read

Sentences: 32 lines

Sentence Length: 33 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © Business Standard

News ID: 24668443

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About Business Standard

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Main Topics: BusinessFinance

Official Website: business-standard.com

Update Frequency: 250 posts per day

Year Established: 1975

Headquarters: India

News Last Updated: 3 hours ago

Coverage Areas: India

Ownership: Independent Company

Publication Timezone: GMT +5:00

Content Availability: Worldwide

News Language: English

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API Access: Available (JSON, REST)

Website Security: Secure (HTTPS)

Publisher ID: #49

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