Heterogeneous Integration: Fertile Ground For Medical And Biotech Innovation


Sensing components in medical and biotech devices often place severe restrictions on the assembly methods that can be employed, which is part of what is driving heightened demand for heterogeneous integration (HI). It is the newest frontier for the medical and biotech manufacturing services industry to contribute our own innovations by developing the processes to build these unique combinations... » read more

System Bits: Aug. 5


Algorithm could advance quantum computing Scientists at the Los Alamos National Laboratory report the development of a quantum computing algorithm that promises to provide a better understanding of the quantum-to-classical transition, enabling model systems for biological proteins and other advanced applications. “The quantum-to-classical transition occurs when you add more and more parti... » read more

System Bits: Feb. 5


Rubbery material for stretchable electronics Researchers at the University of Houston came up with a rubbery semiconducting material that they say could find applications in stretchable electronics, such as human-machine interfaces, implantable bioelectronics, and robotic skins. Cunjiang Yu, Bill D. Cook Assistant Professor of mechanical engineering at the University of Houston and correspo... » read more

System Bits: Nov. 13


Deep learning device identifies airborne allergens To identify and measure airborne biological particles, or bioaerosols, that originate from living organisms such as plants or fungi, UCLA researchers have invented a portable device that uses holograms and machine learning. The device is trained to recognize five common allergens — pollen from Bermuda grass, oak, ragweed and spores from t... » read more

System Bits: Oct. 9


Sensing with light pulses In a development expected to be useful in applications including distance measurement, molecular fingerprinting and ultrafast sampling, EPFL researchers have found a way to implement an optical sensing system by using spatial multiplexing, a technique originally developed in optical-fiber communication, which produces three independent streams of ultrashort optical pu... » read more

System Bits: Sept. 12


Neural network cautionary tale As machine learning and neural networks proliferate widely today, there is a need to exercise caution in how they are employed, according to Stanford University researchers Michal Kosinki and Yilun Wang. In a study conducted recently, they have shown that deep neural networks can be used to determine the sexual orientation of a person, and caution that this ma... » read more

System Bits: Aug. 29


Could video goggles, and a tiny implant cure blindness? Incredibly, the world of medical research is on the verge of curing blindness. Similar to cochlear implants for deaf people, Stanford University scientists and engineers are developing new devices to this end, including a bionic vision system based on photovoltaic implants, which is awaiting approval for human clinical trials in Europe. A... » read more

System Bits: March 15


Drilling into metabolic details with big data In a development that may help researchers find new therapeutic targets for cancer and other diseases, Rice University researchers have created a fast computational method to model tissue-specific metabolic pathways. The team explained that metabolic pathways are immense networks of biochemical reactions that keep organisms functioning and are a... » read more

System Bits: May 26


Microfluidic cell-squeezing MIT researchers have shown it is possible to use a microfluidic cell-squeezing device to introduce specific antigens inside the immune system’s B cells, providing a new approach to developing and implementing antigen-presenting cell vaccines. These types of vaccines are created by reprogramming a patient’s own immune cells to fight invaders, and are believed ... » read more

System Bits: May 19


Foundation for quantum computer In theory, quantum computers are capable of simulating the interactions of molecules at a level of detail far beyond the capabilities of even the largest supercomputers today, which are expected to revolutionize chemistry, biology and materials science. However, the development of quantum computers has been limited by the ability to increase the number of quantu... » read more