Artificial Intelligence Powered Pharmaceutical Innovation

Artificial Intelligence (AI) is transforming the pharmaceutical industry by streamlining drug discovery, enhancing pharmacy practice, and offering ethical alternatives to animal testing. Originating in mid-20th century computational theories, AI has evolved significantly, with advancements in machine learning and data analysis revolutionizing the field. In drug discovery, AI accelerates the identification of drug candidates and optimizes their properties through data-driven insights. It also provides a promising alternative to animal studies by simulating biological processes and predicting drug responses with computational models, addressing ethical concerns and improving efficiency. Additionally, AI enhances pharmacy practice by personalizing medication regimens, predicting patient outcomes, and optimizing drug interactions. In conclusion, AI's integration into pharmaceuticals not only speeds up and refines drug development but also improves patient care and addresses ethical issues, heralding a new era of innovation in healthcare.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-07
DOI
https://doi.org/10.5281/zenodo.14833995
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence Powered Pharmaceutical Innovation

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Artificial Intelligence Powered Pharmaceutical Innovation

article en

Abstract

Artificial Intelligence (AI) is transforming the pharmaceutical industry by streamlining drug discovery, enhancing pharmacy practice, and offering ethical alternatives to animal testing. Originating in mid-20th century computational theories, AI has evolved significantly, with advancements in machine learning and data analysis revolutionizing the field. In drug discovery, AI accelerates the identification of drug candidates and optimizes their properties through data-driven insights. It also provides a promising alternative to animal studies by simulating biological processes and predicting drug responses with computational models, addressing ethical concerns and improving efficiency. Additionally, AI enhances pharmacy practice by personalizing medication regimens, predicting patient outcomes, and optimizing drug interactions. In conclusion, AI's integration into pharmaceuticals not only speeds up and refines drug development but also improves patient care and addresses ethical issues, heralding a new era of innovation in healthcare.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.