# The Rise of Sciborgs: Transforming How Science Gets Done

Introducing our new series: Sciborg **™** Sessions. See how Sciborgs are fundamentally changing how science gets done.

###### **Tune in live on LinkedIn:**  
February 27th | 11am ET  
[Register](https://www.linkedin.com/events/theriseofsciborgs-transformingh7293665082058653698/theater/)

### Automated processes
Automatically collect data from plate readers and/or scheduling software

### Findable data
Access data centralized in the cloud and contextualized with compound information

### AI readiness
Run virtual screens and optimize conditions for HTS assays using AI/ML

### Manual data transfer
Manual data aggregation makes workflows inefficient and error-prone

### Lack of data access
Inaccessible data complicates the creation of SAR dashboards

### Inability to use AI
Low-quality and disparate datasets are inadequate for _in silico_ modeling

## Explore resources
Learn how to transform your scientific data into AI-based outcomes.

### Centralize your HTS data and increase screening throughput

### Replatform  
Collect and centralize data from instruments and software used in screening

### Engineer  
Contextualize and harmonize the data for search and analytics/AI

### Analytics  
Explore screening data with visualization and analytics tools for insights

### AI  
Use the data to build _in silico_ models and predict how drugs will behave

### Powering scientific process automation and workflow management
The clinical-stage biopharmaceutical company Prelude Therapeutics deployed the Tetra Scientific Data and AI Cloud to automate data workflows for high-throughput screening. The elimination of manual steps enabled scientists to focus on higher-value work like gaining insights from the data.