Lifeboat Foundation

New cancer immunotherapies involve extracting a patient’s T cells and genetically engineering them so they will recognize and attack tumors. This technique is a true medical breakthrough, with an increasing number of leukemia and lymphoma patients experiencing complete remissions since CAR T therapy was FDA approved in 2017.

This type of therapy is not without challenges, however. Engineering a patient’s T cells is laborious and expensive. And when successful, the alterations to the immune system immediately make patients very sick for a short period of time, with symptoms including fever, nausea and neurological effects.

Now, University of Pennsylvania researchers have demonstrated a new engineering technique that, because it is less toxic to the T cells, could enable a different mechanism for altering the way they recognize cancer.

Circa 2018

It may look like just another giant smokestack, but a 200-foot tower in the central Chinese city of Xi’an was built to pull deadly pollutants from the air rather than add more. And preliminary research shows the tower — which some are calling the world’s largest air purifier — has cut air pollution significantly across a broad swath of the surrounding area.

Given those findings, the researchers behind the project say they hope to build an even taller air-purifying tower in Xi’an, and possibly in other cities around China.

Continue reading “This skyscraper-sized air purifier is the world’s tallest” »

Michigan State University and Stanford University scientists have invented a nanoparticle that eats away—from the inside out—portions of plaques that cause heart attacks.

Bryan Smith, associate professor of biomedical engineering at MSU, and a team of scientists created a “Trojan Horse” nanoparticle that can be directed to eat debris, reducing and stabilizing plaque. The discovery could be a potential treatment for atherosclerosis, a leading cause of death in the United States.

The results, published in the current issue of Nature Nanotechnology, showcases the nanoparticle that homes in on atherosclerotic plaque due to its high selectivity to a particular immune cell type—monocytes and macrophages. Once inside the macrophages in those plaques, it delivers a drug agent that stimulates the cell to engulf and eat cellular debris. Basically, it removes the diseased/dead cells in the plaque core. By reinvigorating the macrophages, plaque size is reduced and stabilized.

Taiwan has been the world’s hardware hub for decades, so the shift toward AI makes the most of the existing inexpensive engineering talent. A refocus on AI, however, reduces reliance on hardware, which can easily be made somewhere else, such as China, at lower costs. Multinational tech companies have already shown interest in tapping Taiwan’s talent in software, including AI.

To move things along further, the government of Hsinchu County, near Taipei, will open a 126,000-square-meter (about 1.3 million square feet) AI business park near one of Taiwan’s major all-purpose high-tech zones and two top universities.

“[The park] will not just help [promote] industry-academia cooperation, but also let AI-oriented startups and companies have a demo space to verify AI product services,” says Shirley Tsai, a research manager with IDC Taiwan’s enterprise solution group. “It will be helpful as well to attract the companies who are interested in the AI field and then accelerating the AI ecosystem.”

Drug development is an extremely arduous and costly process, and failure rates in clinical trials that test new drugs for their safety and efficacy in humans remain very high. According to current estimates, only 13.8% of all tested drugs demonstrate ultimate clinical success and obtain approval by the Food and Drug Administration (FDA). There are also increasing ethical concerns relating to the use of animal studies. As a result, there has been a world-wide search to find replacements for animal models.

To help address this bottleneck in drug development, Donald Ingber, M.D., Ph.D., and his team at Harvard’s Wyss Institute for Biologically Inspired Engineering, developed the first human “Organ-on-a-Chip” (Organ Chip) model of the lung that recapitulates human organ level physiology and pathophysiology with high fidelity, which was reported in Science in 2010. Organ Chips are microfluidic culture devices composed of a clear flexible polymer the size of a computer memory stick, which contains two parallel hollow channels that are separated by a porous membrane. Organ-specific cells are cultured on one side of the membrane in one of the channels, and vascular endothelial cells recapitulating a blood vessel line the other, while each channel is independently perfused with cell type-specific medium.

CS230 | Deep Learning

https://www.newworldai.com/cs230-deep-learning-stanford-engineering/

Continue reading “CS230 Deep Learning Lectures | Stanford Engineering” »

Researchers have developed a new Artificial Intelligence (AI)-based technique that can detect low-sugar levels from raw ECG signals via wearable sensors without any fingerprint test. Current methods to measure glucose requires needles and repeated fingerpicks over the day. Fingerpicks can often be painful, deterring patient compliance.

The new technique developed by researchers at University of Warwick works with an 82 per cent reliability, and could replace the need for invasive finger-prick testing with a needle, especially for kids who are afraid of those.

“Our innovation consisted in using AI for automatic detecting hypoglycaemia via few ECG beats. This is relevant because ECG can be detected in any circumstance, including sleeping,” said Dr Leandro Pecchia from School of Engineering in a paper published in the Nature Springer journal Scientific Reports.

As the U.S. Army increasingly uses facial and object recognition to train artificial intelligent systems to identify threats, the need to protect its systems from cyberattacks becomes essential.

An Army project conducted by researchers at Duke University and led by electrical and computer engineering faculty members Dr. Helen Li and Dr. Yiran Chen, made significant progress toward mitigating these types of attacks. Two members of the Duke team, Yukun Yang and Ximing Qiao, recently took first prize in the Defense category of the CSAW ‘19 HackML competition.

“Object recognition is a key component of future intelligent systems, and the Army must safeguard these systems from cyberattacks,” said MaryAnne Fields, program manager for intelligent systems at the Army Research Office. “This work will lay the foundations for recognizing and mitigating backdoor attacks in which the data used to train the object recognition system is subtly altered to give incorrect answers. Safeguarding object recognition systems will ensure that future Soldiers will have confidence in the intelligent systems they use.”

Holly Jean Buck is a fellow at UCLA’s Institute of the Environment and Sustainability. This is an adapted excerpt from her upcoming book After Geoengineering: Climate Tragedy, Repair, and Restoration (September 2019, Verso Books).