How to more efficiently study complex treatment interactions
A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
MIT engineers develop electrochemical sensors for cheap, disposable diagnostics
Electrodes coated with DNA could enable inexpensive tests with a long shelf-life, which could detect many diseases and be deployed in the doctor’s office or at home.
LLMs factor in unrelated information when recommending medical treatments
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
With AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Study shows vision-language models can’t handle queries with negation words
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
AI model identifies certain breast tumor stages likely to progress to invasive cancer
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
Researchers 3D print key components for a point-of-care mass spectrometer
The low-cost hardware outperforms state-of-the-art versions and could someday enable an affordable, in-home device for health monitoring.
Imaging method reveals new cells and structures in human brain tissue
A new microscopy technique that enables high-resolution imaging could one day help doctors diagnose and treat brain tumors.
Researchers improve blood tests’ ability to detect and monitor cancer
The advance makes it easier to detect circulating tumor DNA in blood samples, which could enable earlier cancer diagnosis and help guide treatment.
New hope for early pancreatic cancer intervention via AI-based risk prediction
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
Inhalable sensors could enable early lung cancer detection
The diagnostic, which requires only a simple urine test to read the results, could make lung cancer screening more accessible worldwide.
Improving patient safety using principles of aerospace engineering
A new MIT study identifies six systemic factors contributing to patient hazards in laboratory diagnostics tests.
Researchers 3D print components for a portable mass spectrometer
Lightweight and inexpensive, miniaturized mass filters are a key step toward portable mass spectrometers that could identify unknown chemicals in remote settings.
Angela Belcher delivers 2023 Dresselhaus Lecture on evolving organisms for new nanomaterials
MIT professor combines nanoscience and viruses to develop solutions in energy, environment, and medicine.
Scientists 3D print self-heating microfluidic devices
The one-step fabrication process rapidly produces miniature chemical reactors that could be used to detect diseases or analyze substances.