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Viva Biotech Launches the AI-Driven Drug Discovery Platform, Transforming New Drug R&D Logic, Enabling One-Stop Innovative Drug Discovery

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SHANGHAI, May 15, 2025 /PRNewswire/ — On May 13, 2025, Viva Biotech successfully held the AIDD platform launch event “Enchantment of Drug Discovery,” unveiling the advanced and comprehensive AI-Driven Drug Discovery (AIDD) platform. During the event, Dr. Yue Qian, Executive Director of the AIDD/CADD Platform at Viva Biotech, delivered an in-depth overview of the unique strengths of the AIDD platform, and its three core modules—V-Scepter, V-Orb, and V-Mantle. Through a series of case studies, Dr. Qian showcased how Viva’s AIDD platform acts as a transformative “enchantment” for drug R&D, offering an intelligent, efficient, and integrated approach to accelerate the discovery of novel therapeutics.

(Watch the full launch event highlights here)

SBDD Platform Powered by AI and Discovery Magic

As a one-stop drug discovery solution provider, Viva Biotech embraced atomic-level perspective. Dr. Qian emphasized that Viva has over 15 years of experience in structure-based drug discovery (SBDD), supported by established high-throughput, affinity-based screening platforms, comprehensive biophysical and biochemical assays, and dedicated medicinal chemistry and biologics teams. Viva’s expertise spans pharmacology and even extends into manufacturing. Its AI algorithms are built upon this strong structural foundation, integrating data from structural insights, affinity assessments, late-stage developability profiles, and real-time wet-lab feedback. The result is a suite of truly intelligent, predictive models that empower scientists to unlock new target, new mechanism, and new modalities with greater precision and speed.

A New Paradigm in Drug Discovery: Breaking Time and Cost Barriers

New small molecule design workflow

In traditional small molecule drug discovery, the process of advancing a candidate to the clinical stage typically takes 2-4 years. This long timeline is largely due to the sequential approach of optimizing one property at a time, which often requires revisiting previous steps. However, with the advent of AI-driven workflows, the timeline is drastically reduced to under 1-2 years, with fewer synthesis and assay cycles. Virtual screening and de novo design are now indispensable steps in project initiation, followed by rapid iterations of molecular generation and experimental validation. These iterations occur within just a few weeks, allowing for parallel tracking of multiple properties. As a result, drug candidates progress to the lead optimization stage much more quickly and are further refined through an AI-guided design-make-test cycle. This new approach is 2-3 times faster, reducing total development costs by 50-70% as the project advances to the PCC stage.

New Biologics Design Workflow

Viva Biotech adopts an AI-driven antibody discovery workflow that takes a completely different route by starting with AI-generated sequences. This new approach begins with AI-generated antibody sequences, a process that takes less than a week. Since these are data-driven and structure-driven rational designs, it greatly reduces the total number of sequences to be expressed (down from 10^9 in the case of phage display) and provides the foundation of a closed-loop learning. The lab validation step can be finished within a couple of weeks, and swift experimental feedback can be used to improve the model. The entire iteration takes less than a month, and the model refinement ensures a higher success rate in the next round.

Three Powerful Modules Shaping a New Era of AI-Driven Drug Discovery

For the first time, Viva Biotech officially launches its own AI-Driven Drug Discovery platform, powered by three core modules like the three hallows. V-Scepter resembles the elder wand that empowers the computational modeling with fundamental rules. V-Orb reveals the underlying mechanisms of the biological system. And V-Mantle is the invisible cloak weaved at Viva to explore the hidden space of drug discovery with the help of generative AI models.

V-Scepter

V-Scepter includes pocket identification, force field parameterization, molecular docking, ADMET predictors and series of other useful tools.

V-Orb

V-Orb consists of active-learning augmented virtual screening as well as the molecular dynamics. Built on the enhanced sampling techniques, are our proprietary Free Energy Perturbation (FEP) calculation suits, for non-covalent, covalent binders, and biologics.

V-Mantle

V-Mantle encompasses large language models as the foundation for feature extraction and downstream tasks. De novo design and complex structure prediction are the key pillars that form a network of the state-of-the-art AI-driven drug discovery. Lastly, the antibody engineering platform represents a streamlined process with accuracy and automation.

Through a series of live demonstrations, the platform’s powerful capabilities in accelerating drug discovery is further demonstrated. One highlight was the ADMET prediction tool, which delivered highly consistent results with the experimental data, underscoring the reliability and accuracy of the underlying models. Another case focused on enhanced Molecular Dynamics (MD) and FEP, illustrating how the team overcame limitations of traditional computational frameworks. The demonstration emphasized the coupling between dynamic sampling and Quantum Mechanics (QM) to enable covalent interaction optimization. The entire process brings together efficiency and accuracy in a seamless workflow.

In the field of antibody design, Dr. Qian placed particular emphasis on the comprehensive workflow implemented within the V-Mantle module. This workflow includes:

Structure predictionLarge language model as the foundation model of feature extraction and epitope prediction De novo design tools to generate antibody sequences from scratchIterative design cycles to improve the affinityA comprehensive set of antibody developability index prediction tools to enhance the full drug profile

In the end, Dr. Qian emphasized that “The greatest strength of our approach is the connection we establish between discovery and development. This enables us to predict PK and PD profiles early on, significantly reducing downstream development risks and accelerating the overall antibody drug development process”.

We firmly believe that the integration of data, algorithms, molecular structures, biological mechanisms, and both computational and experimental workflows is key to unlocking the full potential of AI in drug discovery. By uniting cutting-edge computational modeling with rigorous experimental validation, the company’s AI platform is transforming the once-impossible into achievable breakthroughs.

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As ADA Anniversary Approaches, University of Phoenix Survey Highlights AI’s Potential to Advance Accessibility in Work and Learning

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Survey conducted by The Harris Poll on behalf of University of Phoenix finds among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.

PHOENIX, July 24, 2026 /PRNewswire/ — As artificial intelligence becomes part of how people work, learn and solve problems, a new University of Phoenix survey conducted by The Harris Poll finds that recent working learners see meaningful opportunities for AI to support accessibility. The survey was designed to understand the impact of AI in the workplace and learning environments on accessibility, defined as ensuring digital content, tools and resources, including AI tools and output, are usable by people with different abilities through inclusive design, use of assistive technology or conformance with accessibility standards, such as the Web Content Accessibility Guidelines (WCAG). The findings are being released ahead of the 36th anniversary of the Americans with Disabilities Act (ADA) on July 26.

The survey, conducted among 1,019 U.S. employed adults who completed a professionally presented training or school course in the past 12 months (“recent working learners”), found that, among workers already using AI in the workplace, 3 in 5 (60%) say AI has improved their knowledge of and ability to use accessibility standards and guidelines, including nearly 1 in 5 (19%) who report significant improvement. 

While the findings point to optimism about AI’s accessibility potential, they also reveal an opportunity for clearer organizational guidance: 45% of respondents say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.

“The reality is that accessibility benefits everyone,” shares Kelly Hermann, Vice President of Accessibility and Student Affairs at University of Phoenix. “If accessibility is built in from the beginning, organizations are more likely to create AI-enabled environments that are universally usable. Clearer content, better summaries, accurate captions, and multiple formats can help workers and learners with disabilities, but they also help busy adults, multilingual learners, mobile users, and anyone trying to absorb information quickly.”

Key findings from the survey include:

Workers see AI’s accessibility potential: 89% of recent working learners identify workflows that could benefit from AI and accessibility tools, especially creating accessible documents, presentations, websites or learning materials (38%), presenting information in different formats such as plain language, audio, summaries or translations (33%), and training employees or learners on accessibility practices (30%).AI may help build accessibility awareness: Among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.Accessibility is not always clear in workplace AI policies: 45% of recent working learners say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.AI tools may not yet fully support different access needs: Among those who use workplace AI tools, only about a quarter of survey respondents (27%) say AI tools available through their workplace or professional learning environment support people with disabilities very well.Human oversight remains important: 36% of recent working learners say human review for important decisions or high-impact work should be part of responsible AI use at work or school.Workers also recognize how AI and accessibility can have an impact on their own career journey: 90% of recent working learners identify AI and accessibility skills that would be valuable in their current or desired career field, including 45% who see value in understanding when AI-generated content needs human review.

Why accessibility is essential to responsible AI adoption

As AI tools are used to draft documents, summarize information, generate captions and transcripts, create image descriptions, support learning and assist with workplace tasks, accessibility becomes central to responsible use. Poorly implemented AI can also create or amplify barriers, including inaccessible content, inaccurate summaries, biased outputs and tools that do not work effectively with assistive technologies.

“Responsible AI is not only about productivity,” Hermann said. “It is about whether the technology works for the people who need to use it. AI can help create more accessible materials and more flexible ways to engage with information, but it still requires clear policies, practical training and human judgment to make sure the outputs are accurate, applicable and usable.”

What the findings mean for employers and educators

The survey suggests that organizations have an opportunity to align AI adoption with supportive design, accessibility practices and workforce training. Employers and educators can take immediate steps by:

Naming accessibility directly in AI policies and guidance.Choosing AI tools with accessibility and assistive technology compatibility in mind.Training workers and learners to create, check and improve accessible AI-generated content.Making support pathways clear for people who experience barriers using AI tools.Keeping human review in place for important decisions, high-impact work and accessibility-sensitive outputs.

The survey also found workers want practical AI training. The most helpful resources identified by recent working learners include real-world examples from their field or industry (36%), hands-on practice using realistic workplace scenarios (34%) and step-by-step demonstrations of common tasks (33%).

Accessibility insights from University of Phoenix

Hermann shared the survey findings ahead of the ADA anniversary in recent media interviews. Hermann oversees the University’s accessibility initiative, including evaluation and remediation of curricular resources, the Center for Access, Resources, Engagement and Support Services (CARES), and the Office of Collaborative Learning and Educational Engagement. Her work focuses on fostering accessible and welcoming educational environments for students, faculty and staff.

Hermann’s office at University of Phoenix also convenes accessibility conversations through initiatives such as Access Amplified™, a free, annual virtual event focused on advancing digital accessibility in web development. The event brings together engineers, developers, designers, content authors and digital strategists for practical strategies and human-centered conversations that address the gap between coding practices and how users with assistive technology experience the web.

About the survey

The survey was conducted online within the United States by The Harris Poll on behalf of University of Phoenix from June 22–29, 2026, among 1,019 employed adults ages 18 and older who have taken a professionally presented training or a school course in the past 12 months, referred to as “recent working learners.” Data were weighted where necessary by age, gender, race/ethnicity, region, education, employment, marital status, household size, household income and smoking status to bring them in line with their actual proportions in the population.

Respondents for this survey were selected from among those who have agreed to participate in surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within +/- 3.8 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.

Review the complete survey at phoenix.edu/aiaccessibility.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu. 

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SOURCE University of Phoenix

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Mastech Digital to Announce Second Quarter 2026 Financial Results; Participate in Upcoming Investor Conference

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PITTSBURGH, July 24, 2026 /PRNewswire/ — Mastech Digital, Inc. (NYSE American: MHH) (“Mastech Digital”), a leading provider of Digital Transformation IT Services, today announced the date for the release of its financial results for the second quarter ended June 30, 2026, and its participation in an upcoming investor conference.

Second Quarter 2026 Earnings:

Mastech Digital will report its financial results for the second quarter 2026 before the market opens on Thursday, August 6, 2026. Management will host a live conference call and webcast at 9:00 a.m. Eastern Time on that day to discuss the Company’s financial performance and operating results.  The conference call will be hosted by Nirav Patel, President and CEO, and Kannan Sugantharaman, Chief Financial and Operations Officer.

Those wishing to participate via webcast should access the call through Mastech Digital’s Investor Relations website at https://investors.mastechdigital.com. Those wishing to participate via telephone may dial in at 1-800-715-9871 (USA) or 1-646-307-1963 (International) with the passcode 7506988. The replay will be available via webcast through Mastech Digital’s Investor Relations website.

Upcoming Investor Conference:

Mr. Sugantharaman will host a fireside chat at the Sidoti Micro-Cap Investor Conference on Wednesday, August 19, 2026, at 9:15 a.m. Eastern Time.

Mastech Digital management is scheduled to host virtual one-on-one and small group meetings with investors during the conference on August 19-20, 2026. Investors interested in arranging a meeting should contact their Sidoti representative or reach out to the Mastech Digital investor relations team at investors@mastechdigital.com.

About Mastech Digital, Inc.

Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation IT Services. The Company offers Data Management, Analytics & AI Solutions, and IT Staffing Services with a digital-first approach. A minority-owned enterprise, Mastech Digital is headquartered in Pittsburgh, PA, with offices across the U.S., Canada, Europe, and India. Visit us at www.mastechdigital.com.

Investor Relations Contact:
investors@mastechdigital.com 

 

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SOURCE Mastech Digital, Inc.

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SOLAI Limited Announces Extraordinary General Meeting

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AKRON, Ohio, July 24, 2026 /PRNewswire/ — SOLAI Limited (NYSE: SLAI) (“SOLAI” or the “Company”) (previously known as “BIT Mining Limited”), a technology-driven personal AI and digital infrastructure provider, today announced that it will hold its extraordinary general meeting of shareholders at 428 South Seiberling Street, Akron, Ohio, US on August 14, 2026 at 10:00 a.m., New York time.

Holders of record of ordinary shares and preference shares of the Company at the close of business on July 20, 2026, New York time (the “Record Date”) are entitled to receive notice of, and to attend and vote at, the extraordinary general meeting or any adjournment thereof. Holders of the Company’s American Depositary Shares (“ADSs”) who wish to exercise their voting rights for the underlying ordinary shares must act through the depositary of the Company’s ADS program, Deutsche Bank Trust Company Americas.

The notice of the extraordinary general meeting, which sets forth the resolutions to be submitted to shareholder approval at the extraordinary general meeting is available on the Investor Relations section of the Company’s website at https://ir.solai.com

About SOLAI Limited

SOLAI Limited (previously known as “BIT Mining Limited”) (NYSE: SLAI) (previously traded under “BTCM”) is a technology-driven personal AI and digital infrastructure provider. Building upon its historical legacy in digital asset mining and blockchain network operations, the Company is leveraging extensive experience in large-scale hardware deployment, data center operations, and high-performance computing to build the foundational infrastructure for personal AI computing and digital asset ecosystems globally.

For more information:

SOLAI Limited
ir@solai.com
ir.solai.com
www.solai.com 

Christensen Advisory
Jason Ng
Tel: +852-2117-0861
Email: solai@christensencomms.com 

 

View original content:https://www.prnewswire.com/news-releases/solai-limited-announces-extraordinary-general-meeting-302834034.html

SOURCE SOLAI Limited

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