【推荐2】Flexible, wearable electronics are making their way into everyday use, and their full potential is still to be realized. Soon, this technology could be used for precision medical sensors attached to the skin, designed to perform health monitoring and disease detection. It would be like having a high-tech medical center at your service. Worn routinely, future wearable electronics could potentially detect possible emerging health problems — such as heart disease, cancer-even before obvious signs appear. The device could also do a personalized analysis of the tracked health data while minimizing the need for its wireless transmission (传输).

Such a skin-like device is being developed in a project. Leading the project is Sihong Wang, assistant professor at the University of Chicago. This device would need to collect and process a vast amount of data, well above what even the best smartwatches can do today, and it would have to deal with this data speedily with very low power consumption in a very tiny space. To address that need, the team called upon neuromorphic computing (神经形态计算). This AI technology copies operation of the brain by training on past data sets and learning from experience. Its advantages also include compatibility (兼容性) with stretchable material, lower energy consumption and faster speed than other types of AI.

The other major challenge the team faced was integrating the electronics into a skin-like stretchable material. The key material in any electronic device is a semiconductor. In current rigid electronics used in cell phones and computers, this is normally a solid silicon chip.

Stretchable electronics require that the semiconductor be a highly flexible material that is still able to conduct electricity. The team’s skin-like neuromorphic chip consists of a thin film of a plastic semiconductor combined with stretchable gold nanowire electrodes. Even when stretched to twice its normal size, their device functioned as planned without formation of any breaks.

“While still requiring further development on several fronts, our device could one day be a game changer in which everyone can get their health status in a much more effective and frequent way,” said Wang.

【推荐3】Every day, it seems that some new algorithm (算法) enables computers to diagnose a disease with unprecedented accuracy, renewing predictions that computer's will soon replace doctors. What if computers could replace patients as well? If virtual humans could have replaced real people in some stages of a coronavirus vaccine trial, it could have sped development of a preventive tool and slowed down the pandemic. Similarly, potential vaccines that weren't likely to work could have been identified early, reducing trial costs and avoiding testing poor vaccine candidates on living volunteers. These are some of the benefits of “in silico medicine”, or the testing of drugs and treatments on virtual organs or body systems to predict how a real person will respond to the therapies.

The modeling begins by feeding anatomical data drawn from noninvasive (非侵入式) high- resolution imaging of an individual's actual organ into a complex mathematical model of the mechanisms that govern that organ's function. Algorithms running on powerful computers resolve the resulting equations and unknowns, generating a virtual organ that looks and behaves like the real thing.

In silico clinical trials are already underway to an extent. Heart Flow Analysis, for instance, enables clinicians to identify CAD (冠心病) based on CT images of a patient's heart. The Heart Flow system uses these images to construct a fluid dynamic model of the blood running through the coronary blood vessels, thereby identifying abnormal conditions and their severity. Without this technology, doctors would need to perform an invasive operation to decide whether and how to intervene. Experimenting on digital models of individual patients can also help personalize therapy for any number of conditions and is already used in diabetes care.

The philosophy behind in silico medicine is not new. The ability to create and simulate the performance of an object under hundreds of operating conditions has been a cornerstone of engineering for decades, such as for designing electronic circuits, airplanes and buildings. Various obstacles remain to its widespread implementation in medical research and development.

The predictive power and reliability of this technology must be confirmed, and that will require several advances. Those include the generation of high quality medical databases from a large, ethnically diverse patient base that has both women and men; improvement of mathematical models to account for the many interacting processes in the body; and further modification of Al methods that were developed mainly for computer-based speech and image recognition and need to be extended to provide biological insights.

In recent years American and European regulators have approved some commercial uses of computer-based diagnostics, but meeting regulatory demands requires considerable time and money. Creating demand for these computer-based diagnostic tools is challenging as well. In silico medicine must be able to deliver cost-effective value for patients, clinicians and health care organizations to accelerate their adoption of the technology.

【推荐2】Queen Elizabeth II’s face is on every note and coin in the United Kingdom, but still little is known about how much money she has personally, how she gets it and who stands to inherit (继承) it.

What we do know from public records is that the Queen receives at least $20 million in annual income through her private estate, and another 100 million dollars from the UK government each year.

The first thing to understand is that the Queen’s income comes from both public and private possessions. A large amount of it comes from something called the Sovereign Grant. Here’s how that works.

In the 1700s, the monarchy (王室) handed over income from land to the government known as the Crown Estate. Each year the government pays a percentage of the profits made on those possessions back to the monarchy. That annual income is known as the Sovereign Grant. Last year it totaled more than $107 million. And it is used to fund the Queen’s official duties and maintain royal residences like Buckingham Palace.

But even if we can’t identify her exact worth, the royal finances are looking healthy as the Queen celebrates her 70th Queen Ceremony. The Sunday Times Rich List estimated the Queen’s net worth is $466 million, up $6.2 million dollars from last year. And while the Duchy of Lancaster saw UK income drop during the pandemic, according to its financial records, the Queen’s income has been turning upwards over the past decade.

Anyway, the monarchy is a private family, and they are unlikely to share any details of their wealth with the British public, and that probably won’t change anytime soon.