media
media coverage.
Our work “Discriminating abiotic and biotic organics in meteorite and terrestrial samples using machine learning on mass spectrometry data” has received extensive media coverage. Below is a list of news outlets that have featured this work:
- Space.com — Could life on Mars look different than we thought?
- Yahoo! News — Can scientists detect life without knowing what it looks like?
- Futura‑Sciences — La NASA dévoile LifeTracer (French)
- Terra Daily — Machine learning tool distinguishes signs of life
- The Conversation — Machine learning to scan for signs of extraterrestrial life
- MSN — Could life on Mars look different than we thought? This latest discovery says it might
- Houston Chronicle — Can scientists detect life without knowing what it looks like?
- SFGate — Republished via The Conversation
- Seattle Post‑Intelligencer — Syndicated science coverage
- Mirage News — Machine learning approach to life detection
- Astrobiology.com — Field‑specific coverage
- The Brighter Side — AI tool for detecting extraterrestrial life
A complete list of all 23 news outlets covering this work is available on PNAS Nexus Altmetric page.
Our paper “Large dataset enables prediction of repair after CRISPR–Cas9 editing in primary T cells” published in Nature Biotechnology has received news and blog coverage:
- GenomeWeb — Machine Learning Model Predicts Repairs Resulting From CRISPR‑Cas9 Editing in T Cells
- BioCentury — Parker Institute gathers its investigators’ cell therapy technologies into cancer cell therapy newco ArsenalBio
- Scope Blog — CRISPR algorithm predicts how well gene editing will work
Full metrics and additional mentions are available on the Nature Biotechnology Altmetric page.
Our work “Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions” published in Nature Communications received the following news coverage:
- Towards Data Science — Inside Epistatic Nets: Machine learning advances for modeling fitness functions
Detailed tracking is available on the Nature Communications Altmetric page.
Our paper “Universal microbial diagnostics using random DNA probes” published in Science Advances received the following coverage:
- Health Canal — Random DNA + high-tech math = ‘universal microbial diagnostic’
- Houston Chronicle — Rice and Baylor team to slow the spread of superbugs
A full list of mentions is available on the Science Advances Altmetric page.