Databricks for the Life Sciences Industry

データ分析とAIの活用で患者に新たな治療法を提供

Data analytics and AI are critical for improving the success of drug discovery and ensuring the efficient delivery of new treatments to market.

Databricks helps life science organizations consolidate massive volumes of data and apply powerful analytics so they can realize benefits across the entire drug lifecycle — to achieve lowered costs and better patient outcomes.

Learn more about the Lakehouse for Healthcare and Life Sciences

See how leaders in the life sciences are using Databricks to improve patient outcomes

バイオジェン

導入事例

Identifying new drug targets with cloud-based AI

CVS

導入事例

Using predictive analytics to improve medication adherence

Regeneron

導入事例

Improving research with the world’s largest genomics database

アストラゼネカ
AstraZeneca Databricks Customer Story

導入事例

Empowering researchers with a research knowledge graph

AstraZeneca Databricks Customer Story
前に戻る矢印
次に進む矢印

最新のブログ記事、Webセミナー、導入事例

Why Databricks for life sciences

unified data processing icon

Single View of the Drug Lifecycle

Bring together all your structured and unstructured data across the drug lifecycle — such as genomics, imaging, EHR and clinical trial data — with a unified Lakehouse Platform in the cloud

support for all data types icon

Real-time Insights on Real-world Data

From health wearables to IoT sensors embedded in the supply chain, reliably ingest streaming data to unlock real-time insights that power the development and efficient delivery of new therapeutics

運用俊敏性のアイコン

Personalized Care with Predictive Analytics

Enhance your ability to develop and recommend the right treatment to the right patient at the right time with a single platform for all your analytics and machine learning

ユースケース

Data and AI are powering innovation across the entire drug development and commercialization lifecycle

life science use case icon 1

Drug Discovery

Enhance the ability to discover new drugs and therapeutics faster and cheaper.

  • Genomics-based target identification
  • Lakehouse for Cancer Cell Line Encyclopedia (CCLE)
  • Improved QSAR workflows using ML

life science use case icon 2

Clinical Trial Design

Optimize clinical trial protocols for speed and success.

  • Optimize trials with real-world data
  • Compute complex biomarkers with ML
  • Manage clinical trial supply chains

life science use case icon 3

Efficient Manufacturing

Improve operational efficiencies to boost time-to-market and profitability.

  • Forecast seasonal demand
  • 予知保全
  • Identify bottlenecks in fulfillment

life science use case icon 4

Drug Commercialization

Leverage actionable insights to augment the performance of marketing and sales.

  • Recommend next-best steps for sales
  • Identify underdiagnosed patients
  • Improve ad spend efficiency

life science use case icon 5

Drug Safety and Effectiveness

Ensure the safe and effective delivery of treatments to patients in the real world.

  • Monitor real-world effectiveness
  • Automate signal detection

関連リソース

無料お試し・その他ご相談を承ります