Latest eBooks

Download this eBook to explore a collection of news, articles, interviews and infographics published in 2021, handpicked by the publication’s editorial team.

Technological advances along with developments in molecular medicine and data science have fueled the exploration of personalized medicine, as a result, several fields are already benefiting. Download this eBook to learn more about the topic.

Cancer is reshaping our families, our communities and our world. It is among the leading causes of death globally and cancer rates are increasing for nearly every age group and indication. Despite its prevalence, there is so much left to reveal.

Download this eBook to learn more about the fight against infectious disease, bridging the gap between immune response and treatment development plus much more.

The term proteomics – used to describe the large-scale characterization of proteins – was coined in the 1990s by Mark Wilkins, who was a PhD student at the time. Download this eBook to learn more about recent developments in proteomics research.

The use of organoids, self-organized three-dimensional (3D) assemblies of cells, as research tools has become more common due to their ability to better recapitulate human disease compared to more traditional models.

Every field of biology has a moonshot vision. Whether that be identifying a new cell type in a poorly characterized tissue, finding a lasting, effective drug target for Alzheimer’s disease or reaching 100% remission rates for immunotherapy across patients and cancer types.

Download this eBook to learn how modern flow cytometers are advances enabling advances in fields such as molecular biology, immunology, environmental science and pathology.

Download this eBook to learn more about identifying new treatments, using in vitro and in vivo models for drug screening as well as predicting patient drug responses to cancer organoids.

Download this eBook to learn more about advancing oncology, integrating cancer cell data, defining hetergenous tumor ecosystems as well as modelling tumors cell by cell.