Employing retrieval-augmented generation to improve rare disease diagnosis accuracy
retrieval-augmented generation
rare diseases
AI diagnostics
medical literature
decision support
Merging archaeogenetics with machine learning to reconstruct ancient human migration routes
archaeogenetics
ancient DNA
migration patterns
neural networks
paleogenomics
Optimizing algae biofuel production via CRISPR-based strain engineering for higher lipid yields
algae biofuel
CRISPR
strain engineering
lipid production
renewable energy
Enhancing CRISPR-Cas12a gene editing precision with engineered guide RNA scaffolds
CRISPR-Cas12a
gene editing
guide RNA
off-target effects
genome engineering
Deciphering circadian gene oscillations through single-cell RNA sequencing in shift workers
circadian rhythms
single-cell RNA sequencing
shift work
gene expression
sleep disruption
Targeting cellular senescence with CRISPR-based gene editing in age-related diseases
cellular senescence
CRISPR
age-related diseases
gene editing
degenerative disorders
Via algae biofuel strain engineering to enhance lipid production under drought stress
algae biofuel
genetic engineering
drought resistance
lipid production
renewable energy
Across circadian gene oscillations in zero-gravity mammalian reproduction studies
circadian rhythm
space biology
mammalian reproduction
gene expression
microgravity
Investigating RNA world transitions using experimental evolution and computational modeling
RNA world
molecular evolution
experimental evolution
computational modeling
origin of life
Upgrading 1990s PCR technologies with microfluidic droplet automation
PCR modernization
microfluidics
droplet automation
nucleic acid amplification
lab-on-a-chip
Through few-shot hypernetworks for rapid adaptation of CRISPR-Cas9 gene editing systems
few-shot learning
hypernetworks
CRISPR-Cas9
gene editing
meta-learning
In viral vector engineering for targeted gene delivery to retinal cells
directed evolution
photoreceptors
subretinal injection
capsid libraries
optogenetic payloads