Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Filtered by: Bioengineering & Biotechnology
New tricks from old drugs: repurposing the 80s
A paper in Molecular Psychiatry describes a new cell biological mechanism regulated by antidepressants, showing how a single dose of a drug fluvoxamine may open up the brain for drug delivery. Can this finding signal the beginning of a brand new career for the 30+ year-old drugs?
A new automated, multiplex approach to studying shear stress mechanotransduction of circulating cells
As the mechanobiology of immune and cancer cells is gaining interest, we developed an easy to adopt, off-the-shelf system for subjecting many different samples to repeated cycles of fluid shear stress.
The Role of Smartwatch Data in Monitoring Non-Motor Symptoms of Parkinson’s Disease
Accurate and continuous monitoring of symptoms can enable better care and timely intervention. Wearables could facilitate this but are underexplored for monitoring of non-motor symptoms.
A single wearable sensor combined with machine learning estimates step length in older adults and patients with neurological disorders
We applied machine learning tools to estimate step length from features derived from a single, wearable, lower back sensor in older adults and people with altered gait patterns. Our results highlight the advantages of using machine learning for step length estimation and other related tasks.
Precisely programming gene expression in plants
We have developed CRISPRi-based circuits for programming gene expression in plants. These circuits are modular, compact, orthogonal, reversible and programmable and function in various plant species.
Antibody-displaying extracellular vesicles for targeted cancer therapy
Extracellular vesicles (EVs) function as natural delivery vectors and mediators of biological signals across tissues. Here, by leveraging these functionalities, we show that EVs decorated with an antibody-binding moiety can be used as a modular delivery system for targeted cancer therapy.
Smart Clinics in Ophthalmology: Automatic Fundus Fluorescein Angiography Image Interpretation with Large Language Models
FFA-GPT is an automated system for ophthalmic image interpretation that enables both report generation and interactive question answering for fundus fluorescein angiography images.
Intrapartum Ultrasound Image Analysis: Beginning from Standard Planes
PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images (avaliable at https://github.com/Yaucleo/HPSSPNet).
Join us at the MICCAI challenge on intrapartum ultrasound image analysis
PSFHS, a data set for fetal and maternal structure analysis and biometry, focuses on the dynamic changes in the relationship between pubic symphysis and fetal head during labor.
