Researchers have shown how subtle nanoscale changes to the spacing between cancer cells can enhance ultrasound treatments' effectiveness in killing those cells.

IISc researchers observed the black hole X-ray binary IGR J17091–3624 and studied the variations in its flickers to study whether they were truly random or just chaotic.

Researchers from IIT Kanpur and IISc have created a framework for pricing and trading data.

Researchers from IISc have studied the behavioural and physiological changes in the brains of persons showing early signs of dementia to understand and aid early diagnosis.

A new study examines complex jointed rocks making up the slopes on the banks of the Chenab River to improve the stability and safety of the Chenab bridge that rests on it.

Imagine if we could predict the properties of materials without having to test them in a lab. This would save a lot of time and money, and it could help scientists discover new materials with amazing properties, like super-strong metals or super-efficient semiconductors. This is exactly what researchers at the Indian Institute of Science (IISc) and University College London are working on. They are using machine learning tools to predict material properties, even when there is limited data available.

Researchers at IISc find a way to dismantle bacterial biofilms, enhancing antibiotic effectiveness.

On 18 November 2023, the Indian Institute of Science (IISc) along with the Office of the Principal Scientific Adviser to the Government of India, in Bengaluru organised the, “Dialogue 2023: Expanding Science and Technology Horizons”.

An RNA sequence based method to predict the effectiveness of treatment in a TB patient

Scientists develop a novel instrument for rapid electro-thermal analysis of cancer biopsy tissue.