Research
-
New process boosts clean hydrogen production
Using a novel heating method that cuts carbon emissions, engineers dramatically improved hydrogen production efficiency. The process also comes with a surprising side benefit.
-
AI designs a novel E. coli killer
Using an AI model of their own creation that writes whole genomes, a team of Stanford scientists has engineered a novel bacteria-fighting phage. A new age of antibiotics could be on the horizon.
-
From biology to astrophysics, AI expands the boundaries of discovery
AI is helping scientists model human cells, decode the universe, and accelerate discovery across nearly every field. Here are some key innovations from across campus.
-
Elizabeth Sattely reveals the hidden talents of plants
The Stanford researcher views plants as nature’s ultimate chemists, with implications for how we treat cancer, understand food allergies, and feed the planet.
-
Stanford researchers receive special Keck Foundation funding
The W.M. Keck Foundation bridge funding initiative made one-time grants designed to support early-career scientists navigating reductions in federal research funding.
-
Protein engineering and testing condensed to a single day
Bioengineers have developed a novel method to bypass traditional microbial gene cloning, enabling the design, construction, and testing of bioprotein variants cost-effectively and in just 24 hours.
-
Matteo Cargnello: Researchers combine metals to build a better nanocrystal
A counterintuitive finding could lead to more powerful catalysts for clean hydrogen energy.
-
Inaugural Bio-Leadership Summit looks to a biotic future
The Hoover Institution’s Bio-Strategies and Leadership Initiative gathered over 350 leaders to discuss the expanding role of biotechnology in health, security, and the economy.
-
William Tarpeh: Engineering the overlooked
As a Stanford undergraduate, William Tarpeh learned to spot problems others ignore. Financial aid gave him a path forward—all the way to a MacArthur Fellowship.
-
Elizabeth Sattely: Immune ‘peacekeepers’ teach the body which foods are safe to eat
Research shows how regulatory T cells recognize safe foods by scanning for specific protein signals, opening new paths to prevent and treat food allergies.
-
Joseph DeSimone: Researchers design 3D-printed materials for clean energy
A Stanford team is exploring how new ultra-precise capsules could improve fusion reactors and other energy systems.
-
Monther Abu-Remaileh: New atlas could help researchers studying neurological disease
A database of lysosomal proteins is already guiding researchers in studying how brain cells’ waste and recycling systems work – or don’t – in Alzheimer’s and other neurological diseases.
-
Chaitan Khosla: Lighting up the gut to detect celiac disease
A clinician and scientist collaborate on new methods to diagnose, treat and track celiac disease.
-
Stacey Bent: New observation method improves outlook for lithium metal battery
Stanford researchers developed a flash-freezing observation method that reveals battery chemistry without altering it, providing new insights to enhance lithium metal batteries.
-
Zhenan Bao: Soft bioelectronic fiber can track hundreds of biological events simultaneously
NeuroString is a hair-thin multichannel biosensor and stimulator with promising potential applications in drug delivery, nerve stimulation, smart fabrics, and more.
-
William Tarpeh: Innovative system turns human waste into sustainable fertilizer
Stanford researchers have developed a prototype that harnesses urine to generate valuable fertilizer, offering solutions for sanitation and energy in resource-limited regions.
-
Elizabeth Sattely: The future of plant chemistry
Seeing plants as powerful chemical factories, a researcher works to create more robust crops and discover new medicines to promote environmental and human health.
-
Monther Abu-Remaileh: You can literally lose who you are
Scientists are uncovering the cellular functions that go awry in degenerative brain disorders and identifying therapies that could treat them.
-
Xiaojing Gao: Researchers use machine learning to improve gene therapy
Stanford’s Gao Lab is leveraging AI to optimize the efficacy and safety of targeted cell and gene therapies.
-
Brian Hie: The current strategy for dealing with drug resistance is like Whac-A-Mole
Chemical engineer Brian Hie is using machine learning to predict how diseases will evolve and develop drugs that can treat them even as they change.