Created to distinguish the most remarkable scientific discoveries in the biomedical field, this international award has a growing reputation as a prelude to the Nobel Prize since it distinguished two authors in a former edition, who were subsequently honoured with the Nobel Prize in Medicine.Created to distinguish the most remarkable scientific discoveries in the biomedical field, this international award has a growing reputation as a prelude to the Nobel Prize since it distinguished two authors in a former edition, who were subsequently honoured with the Nobel Prize in Medicine.

A research team from the GCAT|Genomes for Life project, one of the strategic initiatives of the Germans Trias i Pujol Research Institute (IGTP), has published a study in the journal Scientific Reports proposing a method to correct selection biases in population-based cohorts. The study represents a significant step forward in improving the reliability of data derived from such studies for public health research and precision medicine.

In a review in The Philosophical Transactions of the Royal Society B, Stephen Long, a professor of crop sciences and of plant biology at the University of Illinois Urbana-Champaign, describes research efforts to “future-proof” the crops that are essential to feeding a hungry world in a changing climate. Long, who has spent decades studying the process of photosynthesis and finding ways to improve it, provides an overview of key scientific findings that offer a ray of hope.

CNIC researchers have discovered that the heart forms from two independent cell types working in synchrony from gastrulation, offering new insights into congenital heart defects and potential regenerative therapies.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data.

The complex structure of cancer genomes means that standard analysis tools give false-positive results, leading to erroneous clinical interpretations of tumour biology. SAVANA significantly reduces such errors.

SAVANA offers rapid and reliable genomic analysis to better analyse clinical samples, thereby informing cancer diagnosis and therapeutic interventions.

A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function. Scientists from the University of Potsdam and the Max Planck Institute of Molecular Plant Physiology in Golm succeeded in linking the structure and dynamics of biochemical networks via kinetic modules, thus clarifying a systems biology question that has been open for longtime. Their groundbreaking findings were published today in the journal “Science Advances”.