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AI has allowed these startups to process vast amounts of patient data and drug data to find new drug treatments.
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Applied Technology Review | Tuesday, February 09, 2021
The pharmaceutical industry has been dominated by large pharmaceutical companies, often known as “big pharma”. This was for a very good reason. Developing drugs is incredibly expensive, time-consuming, and risky. Pharmaceutical companies spend hundreds of millions of dollars and years discovering new drugs, testing them, and then seeking regulatory approval. However, the majority of promising drug candidates fail to obtain regulatory approval because they do not have the necessary level of clinical benefit or have unacceptable side-effects. Artificial intelligence (AI) is changing the landscape by shortening discovery times whilst reducing the number of failed drug candidates.
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In recent years, AI has become ubiquitous with modern businesses. Far from the realms of science fiction, almost every sector and industry has been changed in some way using AI to automate previously manual processes that took humans far longer to carry out. From finance to agriculture, AI has been implemented to assist humans in their work, improving accuracy, decision making, and time efficiency.
The healthcare and especially the health tech industries are no different. Previously, healthtech companies developed traditional software technology to remind patients to take pills, facilitate virtual doctor’s appointments or allow those with diabetes to track blood sugar levels. Although these software applications are entirely useful, AI has now swept in and provided an entirely new and exciting opportunity for healthtech companies to interact with the pharma pipeline. Most importantly, the computing power of AI algorithms has specifically impacted the way healthtech companies can now enter the lucrative drug discovery, drug repurposing, and personalised medicine markets.
The growth of AI healthtech startups has given rise to a need for patenting of not just the computer software but also inventions derived using the software to protect startups from losing out on monetising their innovations. However, using AI to help facilitate invention or innovation has become a contentious issue in recent months with the DABUS AI inventor patent cases receiving media attention on the issue as to whether an AI platform can be named as an inventor in a patent application – the answer was a firm “No”! The important thing to note is that in most cases in healthtech AI is not actually inventing but rather facilitating and speeding up innovation. There is no question that you can patent the insights that AI provides.
The high barrier of entry to the pharma pipeline has been broken down by the introduction of AI that can do much of the leg-work operating on huge data sets using the power of modern computer processors, and at a fraction of the cost. What previously took the likes of AstraZeneca and GlaxoSmithKline thousands of iterations using hundreds of pharmacists and lab hours can now be done by a handful of data scientists and pharmacists with a computer and access to appropriate data sets. The ability to patent computer assisted discoveries allows AI startups in this field to quickly and securely monetise them to allow the company to become revenue generating.
FREMONT, CA: AI has allowed these startups to process vast amounts of patient data and drug data to find new drug treatments. For example, AI can be used to design the ideal structure for a completely new drug, by crunching data regarding the biological target. Al can also be used to match a disease with an unmet need with already-approved drugs, by analysing the complex pharmacology of drugs and the physiology of a disease. As every drug and disease has a profile, the computer can match the disease with a possible treatment. What the computer can do is match these elements rapidly and without stopping, whilst possibly learning which criteria are the most important. The silico data that AI provides may not necessarily yield new drug candidates, but there is no doubt it aids the drug discovery process by narrowing down the possible candidates and thus reducing the workload for the pharmacologists. It is an important tool.
The drug candidates that may be identified by AI still require real world testing, but the time to reach this point is shortened. Once the drug candidate has been identified and verified in the lab, patent applications can be filed in the usual way. This combination of real-world data and a patent application has significant value and can be taken to a large pharmaceutical company for partnering, for example. Big pharma are often best placed to finance the large scale clinical trials needed before a drug can be approved.
By using this strategy, both the tech startups and the big pharma “win”. The tech startup is able to deliver a partnerable asset in a realistic timescale (that often ties in with the investors’ requirements) and the big pharma saves money and time that they would have otherwise have needed to spend in early stage research (which for big pharma can be very costly due to the methods they use).
Entry for tech startups funded by venture capital to do drug discovery using AI is now far lower. Previously companies were having to raise millions of pounds just to get to the stage where it had a potential drug candidate. Investors faced the prospect of putting in large sums of money and gambling that an effective drug was found. Often this didn’t happen, and the investors would lose everything. Now with the use of AI, investors can fund a startup business with a much lower level of capital and with increased confidence that the technology is going to deliver effective solutions.
These new technologies are also applicable to vaccine development. Traditionally, vaccine development is very slow and very difficult, especially for certain viruses. Despite this, AI is still being trialled in the search for vaccines, with some early success being shown.
The key with AI is that the name somewhat misconstrues what it actually is. At present, AI is a complex algorithm or set of algorithms that churn through vast amounts of data to provide outcomes or insights. It is a tool. It does not answer a question, because it does not know what the question is. It does not invent. It assists pharmacists and data scientists in faster innovation to make discoveries.
It is important to train the machine on reliable data and this is why it is vital that data scientists are involved in training the algorithms on good, unbiased data. Large medical research institutions, including the NHS, have loads of health data to mine. These data can help them train the algorithms to spot patterns in certain data sets of certain cohorts of patients. However, should the wrong or incomplete data sets be used to train the algorithms then the outcomes will be unreliable.
There is a clear need for personalised medicine and one way to rapidly achieve this is through AI. Access to huge data sets and the ability to sift through vast quantities of it rapidly means that healthtech companies are able to develop personalised drug therapies. By looking at data for specific cohorts of people, AI algorithms are able to stratify patient populations and personalise therapies.
Ultimately, the large pharmaceutical companies will start to recruit the sort of people at these healthtech businesses. They will also start to partner with digital innovation specialists outside of the business that can broaden or deepen the expertise in handling data to find these inventions. If a pharmaceutical company fails to develop a digital technology division or capacity they will be left behind. AI has already changed the way many businesses operate and has successfully proven itself as indispensable in modern business. Now, AI is set to change the pharmaceutical industry through rapidly increasing the speed and range of drug discovery, supporting clinical trials, and driving personalised medicine, and allowing smaller healthtech firms to thrive alongside big pharma.
Optical fiber, a technology that uses light pulses to transmit information, offers a significantly larger bandwidth than traditional electrical systems. It is popular in telecommunications and data communication due to its quicker speed, reduced attenuation, and lower susceptibility to electromagnetic interference.
Fiber optic cable types
Single-mode fiber optic cable: The "mode" in fiber optic cable refers to the path that light travels. It only enables one wavelength and pathway for light to flow, resulting in significantly lower light reflections and attenuation. Single-mode fiber optic cable, which is slightly more expensive than multimode cable, is commonly used for long-distance network connections.
Plastic optical fiber (POF): With a diameter of roughly 1 mm, it is a large core step-index optical fiber. The large size allows it to easily link large amounts of light from sources and connectors that do not require high precision. As a result, typical connector costs are 10-20 percent higher than those for glass fibers, and termination is straightforward. Plastic is more durable and can be installed in minutes with minimum tools and training. POF is more competitive for applications that do not require high bandwidth over long distances, making it a feasible solution for desktop LAN connections and low-speed short links.
Advantages of optical fiber
Thinner and lighter in weight: Optical fiber is thinner and may be pulled into smaller diameters than copper wire. They are smaller and lighter in weight than comparable copper wire cables, making them a better fit for areas where space is limited.
Cheap: Long, continuous miles of optical fiber cable can be less expensive than comparable lengths of copper wire. As more vendors compete for market share, optical cable prices are sure to fall.
Increased carrying capacity: Because optical fibers are significantly thinner than copper wires, they can be bundled into a cable of a given diameter. This allows for additional phone lines to be routed through the same cable and more channels to be sent to the cable TV box. ...Read more
Technological innovations are transforming home insurance, altering policy management and risk evaluation norms. These trends present challenges and opportunities for homeowners and insurers and are shaping the industry's future.
Sensitization: The Rise of Smart Homes
At the forefront of this revolution is the concept of sensorization. Smart home devices equipped with sensors are becoming increasingly prevalent, serving as the eyes and ears of the modern home. These devices can detect signs of danger, from potential burglaries to water leaks, and take preemptive actions to prevent damage. The data harvested from the sensors is invaluable for insurers, enabling more accurate risk assessments and potentially reducing premiums for homeowners who embrace this technology.
Low-Code Platforms: Democratizing Innovation
Another significant trend is the emergence of low-code platforms within the insurance sector. These intuitive tools empower insurers to develop and update applications rapidly without extensive programming knowledge. The result is a more agile industry capable of responding quickly to changing consumer needs and market dynamics.
The Internet of Things (IoT): A Connected Ecosystem
The Internet of Things (IoT) is also pivotal in reshaping home insurance. By integrating innovative technology into everyday living spaces, IoT devices offer insurers unprecedented insights into home safety and maintenance. This connectivity enhances policy customization and streamlines the claims process, making it more efficient and user-friendly.
Cyber security: Safeguarding Digital Assets
As the insurance industry embraces technology, cybersecurity emerges as a critical concern. Protecting sensitive customer data against cyber threats is paramount. Insurers are investing in robust security measures to ensure that the digital transformation of home insurance does not compromise their clients' privacy and trust.
The tech trends in home insurance are a dual-edged dagger. They offer the potential for greater efficiency and personalized service but also pose new risks and challenges. As we navigate this digital landscape, homeowners and insurers must approach these innovations with enthusiasm and caution. By doing so, we can harness the benefits of technology while safeguarding the principles of security and privacy that lie at the heart of the home insurance covenant. ...Read more
The European Unmanned Aerial Vehicle (UAV) industry is transforming operations and enhancing European efficiency. Previously valued at USD 9.32 billion, it is projected to reach USD 17.20 billion by 2034, with a compound annual growth rate of 6.32 percent between 2025 and 2034. Factors driving this expansion include automation demand, technological advancements, and evolving policy frameworks
Market Dynamics and Growth Drivers
Businesses are increasingly seeking to streamline processes, reduce human intervention in hazardous environments, and enhance data collection capabilities. The inherent versatility, flexibility, and cost-effectiveness of UAVs, coupled with their reusability, make them an attractive alternative for various operational tasks, particularly in areas inaccessible or unsafe for human presence.
Remote sensing technology is a significant booster for the European UAV market. Drones equipped with cutting-edge sensors, including multispectral cameras, are revolutionising data collection and acquisition. In agriculture, for instance, these systems accurately detect crop health, monitor irrigation efficiency, and identify pests and diseases with unparalleled precision, leading to optimised resource management and increased yields. The ability to collect granular, real-time data efficiently is making UAVs indispensable for remote sensing applications across diverse sectors, showcasing the potential of these systems in altering data acquisition.
Beyond data collection, the operational capabilities of UAVs are expanding. In logistics and transportation, the potential for autonomous package delivery is being actively explored, with pilot programs demonstrating the viability of transporting small packages, medical supplies, and food to remote locations. This provides a cost-effective and efficient solution for last-mile delivery, minimising human interaction and overcoming geographical constraints. The increasing need for extended flight times and enhanced operational capabilities in diverse applications further propels the demand for high-performance UAV solutions.
The integration of UAVs into various end-use sectors is a testament to their broad applicability. The military and defence sectors continue to be significant consumers, leveraging UAVs for intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) purposes, as well as for combat operations, precision strikes, and military cargo transport. In the civil and commercial spheres, inspection and monitoring, surveying and mapping, and photography and film production are thriving segments. The energy and power sector utilises UAVs for infrastructure inspection and remote monitoring, while construction and mining benefit from their surveying and data collection capabilities. Border management is another area where UAVs offer enhanced surveillance, cost-effective operations, and rapid deployment.
Evolving Regulatory Landscape
The regulatory environment in Europe plays a crucial role in the continued growth and responsible integration of UAVs into the airspace. The European Union Aviation Safety Agency (EASA) has established a comprehensive framework categorising operations based on risk: "Open," "Specific," and "Certified." The "Open" category, for low-risk operations, covers most recreational flying and simple professional uses with drones under 25 kg, generally not requiring prior authority authorisation for each flight. However, basic pilot competency training and registration are mandatory for drones weighing more than 250 grams or those equipped with a camera. The "Specific" category addresses higher-risk operations that require operational authorisation, often through a Specific Operations Risk Assessment (SORA) or adherence to standard scenarios. The "Certified" category is for the highest-risk operations, such as those involving the transportation of people, which require certification similar to that of manned aircraft.
A significant development is the activation of European Standard Scenarios (STS) with the arrival of class-marked drones. These scenarios enable standardised flight operations across Europe for drones with C5 or C6 class markings, provided the pilot complies with the scenario requirements. While the core European regulations offer a common framework, individual member states retain responsibility for managing their airspace, establishing geographical zones, and incorporating specific requirements for urban operations, such as notifying law enforcement. This ongoing harmonisation effort aims to create a more predictable and unified operational environment across Europe, fostering cross-border operations and facilitating wider adoption.
Technological Advancements and Innovations
The European UAV industry is at the forefront of technological innovation, with Artificial Intelligence (AI) and Machine Learning (ML) playing a pivotal role. These technologies enable drones to navigate complex environments autonomously, process vast amounts of data in real-time, and perform sophisticated tasks without direct human intervention. AI-powered drones are leading the way in applications such as automated infrastructure inspection, real-time inventory management through rapid barcode or RFID scanning, and enhanced security and surveillance with intelligent anomaly detection and facial recognition capabilities.
Drone swarming, the coordinated operation of multiple drones, represents another significant emerging trend. Leveraging swarm intelligence, these groups of autonomous drones communicate and collaborate to perform tasks, covering larger areas and achieving greater efficiency than a single unit. These swarms integrate AI and ML to navigate obstacles and maintain synchronised operations, even in challenging environments, promising to revamp missions in areas such as reconnaissance, defence, and large-scale surveying.
Further technological advancements are evident in battery technology, with continuous innovations leading to increased energy density, improved cycle life, and enhanced safety features, translating directly into longer flight times and expanded operational ranges for UAVs. The development of advanced Battery Management Systems (BMS) further optimises efficiency. Connectivity is also evolving, with the integration of 5G and private LTE networks offering unprecedented reliability, low latency, and secure communication for UAV operations, which are crucial for critical applications such as remote infrastructure monitoring and real-time video streaming.
In the defense sector, there is a strong focus on developing more advanced MALE (Medium Altitude Long Endurance) and HALE (High Altitude Long Endurance) UAVs, with increased payload capacities, extended endurance, and enhanced avionics including automatic take-off and landing (ATOL), traffic collision avoidance systems (TCAS II), and detect-and-avoid (DAA) systems. The emphasis is on developing multi-tasking platforms capable of ISTAR, ground attack, and various maritime missions, including anti-submarine and anti-surface warfare. The integration of advanced electronic warfare capabilities, jam-resistant GPS, and satellite communications further enhances their operational robustness.
The Unmanned Aerial Vehicle solutions industry in Europe is experiencing growth and innovation. The coming years will undoubtedly witness further expansion and diversification of their applications, cementing Europe's role as a key player in the global UAV landscape. ...Read more
Subsea Fiber Cable Technology Enables Rapid Data Transmission Across Continents.
Subsea fiber cable technology has become critical to the modern communication infrastructure. Beneath the ocean’s depths lies a vast network of these high-capacity cables, connecting continents and enabling global connectivity. The transition from copper cables to optical fibers marked a significant leap forward in subsea cable technology. These fibers, which form the core of modern subsea cables, allow for the transmission of vast amounts of data using light, substantially increasing capacity and efficiency. Today, these subsea cable systems can span tens of thousands of meters. Such enormous capacity has only become achievable through years of innovation and evolution.
In the early days of subsea cables, challenges abounded. High-voltage transmitters were needed to overcome the cables’ inherent resistance. Moreover, the cables’ inductive and capacitive reactance were poorly understood, and it took years of development to address these issues. However, these challenges did not deter progress but spurred innovation.
Subsea transmission poses unique challenges in cable construction and operation. Overcoming physical impairments caused by thousands of kilometers of cable is essential. Amplification is still needed to counteract cable losses, and repeater systems must be powered remotely, roughly every 100 kilometers, from the cable landing station.
Subsea fiber optic technology has come a long way from its humble beginnings. Today, it connects the globe, enabling global commerce and communication. Advancements in this technology have not only increased capacity but have also improved reliability and efficiency. As our world becomes increasingly interconnected, subsea fiber cables will continue to be at the forefront of global connectivity, playing a pivotal role in shaping our digital future and enhancing global commerce and communication.
Technological advances have significantly benefited subsea cable operators. Coherent detection, combined with finetuning through error correction, modulation shaping, baud rate optimization, and other technologies, has allowed more information to be encoded in each optical wavelength.
Significant advances in subsea fiber cable technology have made these undersea networks even more indispensable in recent years. These advancements have enhanced capacity, reliability, and overall performance, contributing to the continued growth of the global digital economy.
One of the key reasons subsea fiber cables are crucial is their role in enabling global internet connectivity. In today’s interconnected world, where data transfer is integral to countless aspects of our daily lives, from social media to e-commerce, these cables are the unsung heroes making it all possible.
Subsea fiber cable technology advancements have increased capacity, allowing faster data transfer speeds. This means we can download and upload data more quickly, stream high-definition videos seamlessly, and engage in real-time online activities with minimal latency. These improvements enhance user experience and enable critical applications like telemedicine and remote work, which rely on stable, high-speed internet connections. ...Read more