Artificial Intelligence

To make better tomorrow..

Artificial Intelligence is keeping our lives and businesses connected in ways we would never imagine possible. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.

As the markets became increasingly cluttered personalization is one of the key ways that retailers can differentiate themselves to consumers. And for marketers, AI can make teams more creative and help companies make better management decisions by providing new insights and better data analysis.

Benefits of Using Artificial Intelligence In Medical

The AI revolutionized Medical field with innovations that seemed to be impossible a few years ago. WHO claims that uneven access to the health services results in an 18.1-year gap in life expectancy between the richest and poorest countries. AI innovations can be applied here to create an efficient healthcare ecosystem. Such digital infrastructure can help the patients to comprehend the symptoms and receive necessary treatment. Many applications have been developed recently to enhance the collaboration between various healthcare organizations to provide quick assistance to people.

At SPTechhub we help agencies to analyze code with the personalized tools developed for specific purposes to cater services into;

Inventory and logistics management for Pharmacy,

Patient management system with built-in patient-ID tracking,

Treatment protocol development and tracking system

Data Mining and Knowledge Discovery in Medicine,

Tools for generating 3D images

Accuracy of diagnosis and treatment in personal medicine

Increased insights to enhance cohort treatment

Improving efficiencies for overall operational management of healthcare business

Enhanced Detection and Monitoring of Adverse Drug Reactions

Nowadays consumers often report their experiences with ADR on social media instead of traditional channels, which makes drug safety surveillance systems less efficient especially in circumstances where long-term use, when used in conjunction with other drugs or by people excluded from trials, such as children or pregnant women. Knowledge extracted from social media and analyzing we can improve drug safety surveillance system which benefits as follows;

More efficient identification of novel adverse drug reactions
Reducing cost of drug safety surveillance systems
Improving drug safety by finding potential ADR faster
Identified interactions could be used in further study and drug development

Enhanced Detection and Monitoring of Adverse Drug Reactions

More efficient identification of novel adverse drug reactions
Reducing cost of drug safety surveillance systems
Improving drug safety by finding potential ADR faster
Identified interactions could be used in further study and drug development

Research and Development

Drug research says that Nine out of 10 clinical drugs do not make it to clinical trials, and more so do not make it to the FDA approval stage.

This is one of the main reasons many new drugs for major diseases are often so expensive, and why most of these are inaccessible to most people, especially those without insurance or are underinsured.

Pharmaceutical companies investing in artificial intelligence, machine learning, and big data are opening the possibility of making these new drugs more affordable to the end consumer. The technology has great potential in slashing the costs and resources of drug R&D.

An article published in the NY Times describes how AI and deep learning algorithms are rapidly changing the drug discovery science.

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