Dean Xia disregarded everything, repeatedly finding Yang Ping, suggesting that a report should be drafted to seek stronger support.
But Yang Ping rejected Dean Xia’s proposal. Originally, Dean Xia was worried about this issue, always considering whether to submit the report for support without Yang Ping’s knowledge, but now it seems it’s unnecessary.
These companies, universities, institutes, and laboratories have spontaneously ford a massive alliance, abundant in both funding and talent, with clearly defined targets and tightly connected, not a loose alliance.
With this alliance as a backing, Dean Xia no longer needs to submit a report for aid. It seems he underestimated Yang Ping’s influence.
During this period, Yang Ping had been staying in the laboratory, barely having ti to go to the clinical ward. But now, there is no need to worry about the clinical ward as Song Zimo and Xu Zhiliang can fully support the surgeries there independently.
These so-called blockades have a significant impact on the laboratory but almost no impact on the clinical ward, so the doctors over there often wander over here hoping to help.
It was originally thought that the laboratory had beco chaotic, but surprisingly, the laboratory is calm as ever. Professor Yang’s team still consists of those five newcors, with others busy with their own tasks.
Tang Shun wanted to allocate more manpower to Yang Ping, but Yang Ping also refused. He said five people are enough and doesn’t want to affect other projects as they are now in the zone, and the group has a very harmonious dynamic. Adding more people would just create confusion.
Actually, this single topic is nothing major for Yang Ping. The real challenge is using this project to build an entirely new scientific research system.
The five doctoral researchers from the team were once nobodies in the institute but have now beco famous not only at Sanbo Hospital, but also well-known in Nandu Provincial City, and overnight, they have beco national academic celebrities.
This made Ji Ning feel indignant. He thought to himself that none of them are better than him, they just happened to be at the right place at the right ti. If he hadn’t quit back then, he would be much better than them now.
...
The three candidate molecular sequences proposed by Yang Ping were carefully sowed into the soil of real-world research like precious seeds.
After a brief period of excitent, the team’s atmosphere quickly settled into a state of focused concentration, neither hurried nor impatient.
He Zijian contacted the country’s top peptide and protein synthesis laboratory, and the communication process was itself a test of the new path.
The researchers on the other side repeatedly confird the sequences they received, speaking with incredulous surprise: "Dr. He, are you sure about these modification sites and the positions for introducing non-standard amino acids? I’ve never seen such a structure, but it looks very boldly designed. The energy calculations must have been extrely precise."
He Zijian calmly replied, "Just synthesize according to this; we have ample predictions."
During the days of waiting for molecular synthesis, all modules in the laboratory entered the final sprint of testing. Wang Chao and his team ran hundreds of stability tests on the "cobbled together" micro biosensor. Using standard samples of known concentration, they repeatedly calibrated and recorded every subtle fluctuation, optimizing the temperature compensation algorithm provided later by Yang Ping. The palm-sized device, with its densely packed circuits and microfluidics inside, looked rough on the outside but the core detection unit and signal processing system operated as precisely and reliably as a Swiss watch.
"Background noise is stable within acceptable limits, with a signal-to-noise ratio eting the standard!" A researcher, eyes on the data on screen, couldn’t suppress the joy in his voice. Wang Chao patted the device, which embodied so much effort, as if it were his own child: "Old buddy, now it’s ti to show your true skills."
Chu Xiaoxiao and the algorithm engineers from the Digital dical Center conducted the final round of "special training" for the dedicated convolutional neural network model. Utilizing images and data obtained from experints, they carried out adversarial training and extre condition tests, continuously enhancing the model’s robustness and generalization capability. On the screen, the model was rapidly identifying a batch of new cell images, accurately marking target cells with green boxes, maintaining an accuracy rate above 98.5%, even surpassing human expert judgnt in certain blurry images.
"It has graduated." Chu Xiaoxiao said with a hint of pride to the engineers beside her. This AI image recognition system is not only extrely low-cost, requiring just standard microscopic imaging equipnt, but its speed and stability surpass traditional flow cytotry. This is the advantage brought by path reconstitution—you don’t have to chase others’ expensive hardware but rather use the existing technology as a tool, which requires considerable innovation capability.
Liu Yang’s enzy production process line has completed the preparation for pilot-scale upscaling. Following the key node control paraters optimized by Yang Ping, they successfully replicated the high-efficiency expression at laboratory levels in a 50-liter ferntation tank. Although the purification steps still need further optimization to reduce loss, the autonomous supply line for "ammunition" is now initially established. Watching the bacterial solution stirring slowly in the reactor, Liu Yang felt a sense of stability.
Jiang Jitong also brought good news. He had fully communicated with the animal laboratory center at Nandu dical University, a fully qualified GLP animal testing center. Once in vitro verification is passed, preclinical studies can begin imdiately.
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