Magnetomotive Molecular Nanoprobes

Tremendous developments in the field of biomedical imaging in the past two decades have resulted in the transformation of anatomical imaging to molecular-specific imaging. The main approaches towards imaging at a molecular level are the development of high resolution imaging modalities with high penetration depths and increased sensitivity, and the development of molecular probes with high specificity. The development of novel molecular contrast agents and their success in molecular optical imaging modalities have lead to the emergence of molecular optical imaging as a more versatile and capable technique for providing morphological, spatial, and functional information at the molecular level with high sensitivity and precision, compared to other imaging modalities. In this review, we discuss a new class of dynamic contrast agents called magnetomotive molecular nanoprobes for molecular-specific imaging. Magnetomotive agents are superparamagnetic nanoparticles, typically iron-oxide, that are physically displaced by the application of a small modulating external magnetic field. Dynamic phase-sensitive position measurements are performed using any high resolution imaging modality, including optical coherence tomography (OCT), ultrasonography, or magnetic resonance imaging (MRI). The dynamics of the magnetomotive agents can be used to extract the biomechanical tissue properties in which the nanoparticles are bound, and the agents can be used to deliver therapy via magnetomotive displacements to modulate or disrupt cell function, or hyperthermia to kill cells. These agents can be targeted via conjugation to antibodies, and in vivo targeted imaging has been shown in a carcinogeninduced rat mammary tumor model. The iron-oxide nanoparticles also exhibit negative T2 contrast in MRI, and modulations can produce ultrasound imaging contrast for multimodal imaging application

IIT-Hyderabad incubated start-up develops IoT-enabled, low-cost ventilator

Aerobiosys Innovations, a start-up incubated at The Center for Healthcare Entrepreneurship (CfHE) in the Indian Institute of Technology-Hyderabad (IIT-H), has developed a low-cost, portable ventilator

A linear algorithm for finding a minimum dominating set in a cactus

AbstractA dominating set in a graph G = (V,E) is a set of vertices D such that every vertex in V−D removal results in a disconnected graph. A block in a graph G is a maximal connected subgraph of G having no cutvertices. A cactus is a graph in which each block is either an edge or a cycle. In this paper we present a linear time algorithm for finding a minimum order dominating set in a cactus

IIT Hyderabad-incubated start-up ‘BeAble’ wins Rs 25 lakh as funding

A startup incubated in Indian Institute of Technology, Hyderabad — BeAble — has won Rs 25 lakh funding at the ‘Open Innovation Challenge 2019’ of the India Innovation Growth Programme (IIGP) 2.0

Startup incubated in IIT-Hyderabad wins Rs 25 lakh

A startup incubated in Indian Institute of Technology, Hyderabad — BeAble — has won Rs 25 lakh funding at the ‘Open Innovation Challenge 2019’ of the India Innovation Growth Programme (IIGP) 2.

IIT Hyderabad Startup Wins Rs. 25 Lakh Funding At Innovation Challenge

A startup incubated in Indian Institute of Technology, Hyderabad — BeAble — has won Rs 25 lakh funding at the ‘Open Innovation Challenge 2019’ of the India Innovation Growth Programme (IIGP) 2.

IIT-Hyderabad health startup wins Rs 25 lakh grant

A startup incubated in Indian Institute of Technology, Hyderabad — BeAble — has won Rs 25 lakh funding at the ‘Open Innovation Challenge 2019’ of the India Innovation Growth Programme (IIGP) 2.

ఐఐటీ హైదరాబాద్ స్టార్టప్‌కు 25 లక్షల రివార్డు

A startup incubated in Indian Institute of Technology, Hyderabad — BeAble — has won Rs 25 lakh funding at the ‘Open Innovation Challenge 2019’ of the India Innovation Growth Programme (IIGP) 2.0

IIT Hyderabad incubated startup, BeAble, wins Rs 25 lakh in funding

A startup incubated in Indian Institute of Technology, Hyderabad — BeAble — has won Rs 25 lakh funding at the ‘Open Innovation Challenge 2019’ of the India Innovation Growth Programme (IIGP) 2.