Resources
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On-demand webinar presented by Mo Jain, MD, PhD, Founder and CEO, Sapient and Jonathan Usuka, PhD, MBA Chief Business Officer, Sapient
Accelerate Protein Screening by Sequencing Protein Barcodes on Platinum®
On-demand webinar presented by Joel McDade, PhD, Sr. Commercial Business Development Manager, Quantum-Si and Bonnie Lun, PhD, Field Application Scientist
Challenges and Strategies for the Application of Omics and Spatial Technologies
A concise report featuring insights from the prominent thought leaders of Omics 2023 and Spatial 2024
Top R&D Stories of 2023
Through captivating articles, insight pieces, and spotlight interviews, we delve into the remarkable innovations, breakthroughs, and scientific marvels that have defined the landscape of research over the past year.
Clinical Diagnostics
Harmonized Multi-Omics Data Analysis - How Does It Impact Pharmaceutical Research?
Harmonized multi-omics data analysis integrates diverse omics disciplines in pharmaceutical research, standardizing protocols for reproducibility and enabling transformative impacts on drug discovery.
Biomarker Discovery & Development
The Power of Real-World Data Analytics in Biomarker Discovery: A Game-Changer in Medical Research
Biomarker discovery in medical research traditionally relied on controlled trials. Now, Real-World Data Analytics offers a transformative approach, analyzing real-world patient data to identify new biomarkers and improve patient care.
Clinical Diagnostics
Roadblocks to the Sharing of Large Multi-Omics Datasets
More analysis means more data, and sharing multi-omics datasets can present challenges as well as blessings.
Digital Biomarkers
Speech-Analysis Tool for the Early Detection of Alzheimer's Handed to Linus Health in Acquisition
Aural Analysis's Speech Vitals and Linus Health's expansion into linguistic analysis herald a promising era in early detection and treatment.
Single Cell Analysis
Research Spotlight: Multi-Omics Data Harmonization for SARS-CoV-2 Virus and Drug Target Identification
The approach to omic data analysis combines multiple types of omic datasets in the hope of understanding multiple layers of a biological system.
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