The advancements in the field of machine learning can be used to create sustainable and efficient ways to diagnose and predict the diease using biomarkers. The identification of biomarkers can be fasten using varioud machine learning algorithms like random forest, naive bayes. the use of these algorithms on available microarray datasets of various patients can be used to identify biomarkers for various diseases, which is a step in the field of diagnosis of any diseases.

help merchants with one-stop solutions Product selection-design-marketing issues.

Late detection of equipment malfunctions and pre-failure conditions of passenger coach equipment can lead to failures en route, schedule delays, increased repair time and cost. It also potentially reduces passenger safety and comfort. Meanwhile, standard equipment of modern passenger coaches collects and transmits to the control system a significant number of telemetry parameters and self-diagnosis results, which are used in control algorithms but usually are not analyzed by the train personnel or maintenance personnel. The proposed solution allows: 1. To collect and store all important telemetry parameters, self-diagnostic results, and a list of installed coach equipment on the standard coach equipment. Data of each coach is stored from the moment of its connection to the system throughout its entire lifecycle (up to 28 years). Data is stored and processed in in-house data center. A server can be deployed in the customer’s corporate network, if required. 2. To transmit telemetry data to a remote server using GSM in real-time (data is transmitted minutely, and if there is no network coverage, it is accumulated and transmitted later) or via flash drive retrospectively. 3. To analyze automatically incoming data in real-time to detect equipment malfunctions, pre-failure conditions, and incidents that can threaten passenger safety and comfort. Both data processing algorithms and self-learning mathematical models are used. 4. To monitor automatically the condition of thousands of rolling stock units at once by means of detailed information and visualized telemetry diagrams of each particular coach. 5. To inform users about detected malfunctions and recommended actions anywhere in the world via a web interface without installing specialized software. 6. To create tools for manual telemetry analysis to identify the root causes of detected malfunctions, determine necessary corrective actions, and to improve the design of coach equipment (also in the web interface). 7. To generate, route, and control the execution of requests for troubleshooting. 8. To generate reports and diagrams using the entire volume of collected big data.

1. Challenge: During a brand's product launch, a large volume of creative materials needs to be produced, incurring substantial human and resource costs and involving a cumbersome process. The Wanxiang AI Lab aims to address the "impossible triangle" in e-commerce brand visual creativity production, tackling "background richness," "detail fidelity," and "product integration." By leveraging AI algorithms, the lab facilitates brands in swiftly creating visual marketing content, resolving the challenges of time-consuming, complex traditional commercial photography and high costs, thereby enhancing efficiency and reducing expenses. 2. Insight: Market research indicates that the cost of creative e-commerce product photography generally falls between 200 and 2000 yuan per set. Brands require diverse and tailored creative content for different users, product features, and marketing contexts. For resource-constrained emerging brands and SMEs, Alimama's Wanxiang AI Lab offers transformative technology that is vital in streamlining the product launch pipeline. The lab harnesses AI's efficient and stable production capacity to address the tension between creativity and cost control for merchants in their e-commerce endeavors. Strategic Creativity/Strategy Building: By leveraging AI functionalities provided by Alimama's Wanxiang AI Lab, businesses can adapt models at zero cost, create scenes at no cost, and mass-produce high-quality product images within 30 seconds, thereby expediting the product launch process and lowering expenses. Alimama's Wanxiang AI Lab, with AI's scalability in production, combined with optimized creative generation models, brand/product attributes, and target user characteristics, generates creative images in real-time or pre-production on a large scale, covering the personalized and differentiated rich creative demands across various marketing aspects of brand products. 3. Strategy and Creative Implementation: Implementation Direction 1: Optimize the creative generation model's semantic understanding, drawing accuracy, and aesthetics through algorithmic enhancements, assuring controllable creative quality. Implementation Direction 2: Gain insights into creative factors, integrating brand characteristics, product attributes, high-conversion creative traits by category, and campaign attributes. By incorporating AI-driven reasoning pathways, more contextually suitable creative visuals can be produced, focusing on scalable production and variability in creativity.

Problem: Designers and illustrators have to write complex and very long prompts to generate graphics. When implementing AI-models, the productivity of a specialist decreases practically by 2 times, because the person has to spend up to 90% of his time working with voluminous and complex text queries, which without sufficient detail may not even be understood or ignored by the model How the product solves the problem: Instead of a single text field, NeuroArtist has a visual prompt editor - all the details of the generation description are displayed in the blocks generated by the AI, and the user only needs to spell out the most important things, select the details from the proposed ones and indicate which details need to be worked out in more detail.

1. Aerial Education and Publicity Platform: Problems: The lack of educational resources in remote areas, the lack of public understanding of environmental protection and sustainable development knowledge, the lack of intuitive and effective education and publicity methods. Solution: Through the UAV equipped with high-definition camera and PA system, and combined with live broadcasting or recording technology, to achieve remote air teaching and environmental protection knowledge publicity, improve the coverage of education and the popularity of environmental protection knowledge. 2. Environmental Monitoring and data collection: Problem: The traditional environmental monitoring methods have the problems of incomplete coverage, low efficiency and high cost, and it is difficult to achieve comprehensive and high-frequency monitoring of the ecosystem. Solution: The UAV is equipped with various sensors for high-precision and high-frequency monitoring, combined with cloud computing and big data analysis technology to improve the efficiency and accuracy of environmental monitoring, and provide scientific basis for decision making and project management. 3. Emergency response and resource distribution: Problem: When natural disasters occur, traditional rescue methods may be limited by traffic interruptions and other restrictions, resulting in inefficient rescue, and it is difficult for the affected people to obtain relief materials in time. Solution: Drones can quickly enter the disaster area for disaster assessment, and provide real-time information support; At the same time, the load capacity of the UAV is used to accurately deliver relief materials to the hands of the affected people, improving the rescue efficiency and the precision of material distribution. 4. Display and promotion of innovative solutions: Problem: Innovative solutions in the field of sustainable development lack effective display and promotion platforms, which are difficult to attract public attention and promote international exchanges and cooperation. Solutions: By organizing the "Green Flyer" innovative solutions exhibition, using drones for aerial display, and combining social media and livestreaming platforms for global broadcast, to expand influence and promote international exchanges and cooperation in the field of sustainable development.

Patients globally face various issues accessing medical services, such as reaching or contacting a clinic/hospital, long wait times for appointments, "live" queues even when scheduled, uncomfortable conditions (poor infrastructure, lack of wait arears, poor accessibility of drinking water, etc.), and lack of politeness and empathy from healthcare workers. Authorities set requirements for medical facilities and regional healthcare systems to achieve high levels of patient satisfaction as patient satisfaction with healthcare services worldwide is a recognized indicator of the health system's performance and is included in international healthcare quality indices. Addressing these issues does not always necessitate high-level decisions; effective solutions can be implemented at the organizational level. To comprehensively address this issue, Russian Research Institute of Health developed the STIMUL standard, a solution for service delivery models management designed at enhancing patient satisfaction with healthcare services. STIMUL helps healthcare organizations become more patient-oriented quickly and cost-effectively by improving medical care processes and conditions. STIMUL integrates innovative approaches for healthcare: lean technologies, design thinking, customer journey mapping, and the "mystery patient" method. It focuses on improving organizational aspects affecting patient satisfaction: medical care accessibility, medical facilities conditions, staff-patient communication, medical organization and patients interaction, feedback systems. The implementation stages: 1. Initial assessment and team training: Auditor uses "mystery patient" technique to experience the organization as a regular patient, following the entire customer journey. Training approach focuses on patient-centered methods, incorporating design thinking, lean technologies. 2. Implementation: A detailed action plan is developed, mapping out the "as-is" and "to-be" customer journeys and implemented to improve processes and patient experience. 3. Certification to ensure compliance with the STIMUL standard. Benefits for patients: Enhanced experience during clinic/hospital visits, no queues, and the ability to receive necessary services without additional effort or stress. Increased adherence to medical appointments and follow-ups and fostering trust in the healthcare system. Development of a health-conscious culture among the population, increased engagement of the population in health preserving lifestyle. Benefits for medical organizations: a complete tool kit for systematic patient engagement based on data. Decrease in the number of patient complaints. Private services development opportunities. Increased staff satisfaction and reduced risk of professional burnout. Improvement in National Project indicators. Enhanced reputation among patients and authorities, leading to higher patient loyalty and trust in the healthcare system.

PROBLEM :Together, the BRICS nations—Brazil, Russia, India, China, and South Africa—account for a sizeable share of global agricultural output. Nevertheless, maximizing crop yields and guaranteeing the nutritional value of the food produced present a number of difficulties for these countries. Conventional farming practices frequently lead to the inefficient use of resources like pesticides, fertilizers, and water. Reduced crop yields, worsening environmental conditions, and inconsistent nutritional quality in product are all possible outcomes of this inefficiency. Furthermore, pest infestations, soil degradation, and climate variability make it harder to continue using sustainable agriculture practices. IMPLEMENTED SOLUTION :The use of precision agriculture technologies offers a revolutionary solution to these problems. Farmers may manage agricultural resources more precisely and effectively by utilizing drones, artificial intelligence (AI), and Internet of Things (IoT) sensors.

1. Assistance in establishing a regional network of scientific and production centers 2. Development of standard models of research and production centers 3. Creation of modern production infrastructure 4. Development of educational programs 5. Industry popularization 6. Development of a digital platform for the development, design and testing of UAS

The device utilizes the force from the weight of the tires as the precursor for the initialization of the movement of the piezoelectric plate installed within the speed breaker. The piezoelectric plates which are generally used as sensors as they produce voltage. So, this model is aimed to store those minute fluctuations as energy to be used later for an array of different purposes. For instance: sustainable substitute of power sources for street lamps, and SOS calling booths; also find application in powering appliances with low voltage requirements in corporate institutes where it can be installed within or in the pathways leading to the parking lots.