Grammy-Nominated Artist and Khalifa Kush Co-Founder to Take the Stage December 2 as MJBizCon Debuts New Live Music and Food Experiences

LAS VEGAS, Nov. 13, 2026 /PRNewswire/ — MJBizCon, the world’s largest and most influential B2B cannabis Conference and Expo, has announced Grammy-nominated artist and Khalifa Kush Co-Founder, Wiz Khalifa, as keynote speaker and concert headliner on Wednesday, December 2, at the Las Vegas Convention Center.

Long before legalization went mainstream, Wiz Khalifa made cannabis part of his identity, his music, and his message. Since the 2010s, he’s turned that passion into a premium cannabis business, Khalifa Kush, built on the culture he helped shape.

Khalifa will share his journey from artist to cannabis entrepreneur during From Mixtapes to Market Share: Wiz Khalifa’s Cannabis Playbook, a 30-minute fireside chat taking place Wednesday, December 2, at 1:00 p.m. on the General Session Stage (N109). The keynote is open to all MJBizCon attendees, regardless of badge type.

The conversation will explore how Khalifa transformed a personal strain into a recognized consumer brand while maintaining the cultural authenticity that helped establish it. He’ll discuss the importance of choosing the right partners across cultivation, distribution, and retail, the challenges of scaling a cannabis business, and his perspective on where the global cannabis market is headed.

Later that day, Khalifa will trade the keynote stage for the music stage, delivering a live performance at 5:00 p.m. at The Gas Station, MJBizCon’s all-new live music stage powered by Weedmaps.

Debuting at MJBizCon 2026, The Gas Station brings live music and entertainment directly to the Expo Floor, giving attendees a new way to close out the show day before heading into the Las Vegas nightlife. Khalifa will headline Wednesday’s performances alongside an opening act to be announced. Live music will continue Thursday, December 3, with additional artists and performances to be revealed.

Also making its debut this year is The Pit Stop, MJBizCon’s new outdoor food truck destination located just outside the Expo Hall near The Gas Station. Featuring a variety of food trucks and local flavors, The Pit Stop will give attendees a place to grab a bite, recharge between sessions and meetings, and enjoy the atmosphere throughout the day and into the evening.

Together, The Gas Station and The Pit Stop introduce new entertainment and dining experiences to MJBizCon 2026, complementing the event’s conference programming, expansive Expo Floor, and business-building opportunities.

Both activations are accessible to all attendees with any MJBizCon badge. Attendees planning to catch performances at The Gas Station must be on the Expo Floor by 5:00 p.m., as re-entry will not be permitted after that time.

MJBizCon 2026 takes place December 1–4 at the Las Vegas Convention Center, beginning with Pre-Conference Certifications and special programming on Tuesday, December 1. For more information or to register, visit mjbizconference.com.

For more information, please contact Tess Woods at tess@tesswoodspr.com. 

ABOUT MJBiz
MJBiz is the leading B2B resource for the cannabis industry. Founded in 2011, it is the most trusted publisher and event producer serving cannabis industry entrepreneurs and investors from around the globe. MJBiz produces MJBizCon, the longest-running and largest cannabis trade show in the world. The 2015-2019 events were each named to Trade Show Executive’s Fastest 50 list and ranks on the Gold 100 list of largest tradeshows in the U.S. The 2026 event will return to Las Vegas December 1-4, 2026 (Pre-Show Certifications are December 1). The MJBiz team also produces news and analysis of the marijuana and hemp industries via MJBizDaily, MJBiz Factbook. For more information about MJBizCon or MJBiz, please visit www.MJBizCon.com and www.MJBizDaily.com.

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SOURCE MJBizCon

Dyania’s Synapsis AI, which reasons through a patient’s complete medical history, uses NVIDIA accelerated computing, so health systems can learn from their own records while keeping patient records within their walls.

JERSEY CITY, N.J., Nov. 13, 2026 /PRNewswire/ — Dyania Health today announced a collaboration with NVIDIA to put AI clinical reasoning to work inside health systems, on their own infrastructure, at the scale of their entire patient population. Dyania’s Synapsis AI reads a patient’s full medical record, across years of notes, operative reports, imaging reports and lab results, and answers clinical questions with evidence from the chart. NVIDIA accelerated computing makes it possible to do that across large patient populations behind the hospital firewall, without transferring patient records outside the health system. Together, the companies aim to give health systems the ability to learn from the full histories of the patients they have treated and turn that experience into earlier identification of care needs, more informed treatment decisions and better care for the next patient, while keeping those records within their own systems.

Turning clinical experience into better care

Health systems hold decades of clinical experience in their medical records, but much of it is difficult to analyze at scale. Much of the information that matters is in narrative text rather than structured fields, and interpreting it often requires manual review. Registries, outcomes studies and predictive models can be limited by how many charts a team can read by hand. Extracting and interpreting the clinical information needed to build them remains a major bottleneck.

Synapsis AI performs that reasoning. It is built to work the way a specialist works through a chart: longitudinally, across every document, resolving what a patient actually had, when, and with what evidence. Doing this for one patient is a reasoning problem. Doing it for an entire health system, continuously, inside the hospital’s own environment, requires substantial computing capacity. Dyania brings the clinical reasoning engine and implementation experience; NVIDIA brings the accelerated computing platform and the software that lets it run securely and efficiently on premises.

Synapsis AI is built on the NVIDIA AI Enterprise software stack end to end. Dyania trains its proprietary clinical models with the NVIDIA NeMo framework for model training and reinforcement learning. Inside the health system, Synapsis AI runs on NVIDIA TensorRT and TensorRT-LLM on the hospital’s own NVIDIA accelerated computing infrastructure, so inference stays inside the hospital’s private network.

Under the collaboration, the companies will work to bring Synapsis AI on NVIDIA infrastructure to health systems in the U.S. and internationally, publish joint case studies, and integrate Synapsis AI with NVIDIA’s healthcare software stack. Areas the companies are evaluating include NVIDIA Confidential Computing for training and inference, NVIDIA Dynamo for distributed inference serving, Multi-Instance GPU for partitioning GPUs across concurrent clinical workloads, and scaling to many NVIDIA Blackwell Ultra GPUs as deployments move from batch processing toward near-real-time clinical insight at the point of care.

“The opportunity for AI in healthcare is to give care teams more time and insight to focus on patients,” said Chelsea Sumner, Healthcare AI Startups Ecosystem Lead at NVIDIA. “Dyania Health brings deep clinical expertise to that opportunity, using NVIDIA’s AI platform to support research, help identify gaps in care and build a more complete understanding of patients’ needs.”

“This is a watershed moment for patient care. Every patient’s story is spread across years of notes, reports and results, and for the first time we can reason across all of it at once, the way a specialist does, for every patient in a health system rather than one chart at a time,” said Eirini Schlosser, founder and CEO of Dyania Health. “Synapsis AI reads the full record, draws the clinical conclusions and shows the evidence behind them, and NVIDIA gives us the computing power to do that inside the hospital, with every record staying where it belongs. What we have shown with Cleveland Clinic is that a health system can learn from the patients it has already treated to give the next patient the right care sooner.”

Predicting how long replacement heart valves will last

The first work from the collaboration is a Cleveland Clinic study of 7,812 patients who received an aortic valve replacement between 2005 and 2021. The study addressed a central concern for patients: How long will the replacement valve last, and will another procedure be needed? To answer this, researchers reviewed up to 16 years of patient care, most of it in narrative notes and echocardiogram reports that can be challenging to capture in registries.

Running on NVIDIA accelerated computing inside Cleveland Clinic’s environment, Synapsis AI identified the patient population and answered 88 clinical questions for each patient, covering the valve and its characteristics, co-existing conditions, laboratory trends, medications, follow-up ultrasound measurements and later clinical events. The study produced a detailed clinical dataset in far less time than a manual review would take. Additionally, a predictive machine-learning model was trained that is capable of predicting valve failure and reintervention risk timelines for every patient.

The model found that the type of valve implanted was the strongest determinant of how quickly it deteriorated, while age and other medical conditions shaped whether and when a second procedure was performed. The analysis also examined how follow-up information, such as heart ultrasounds following surgery, can substantially raise predictive accuracy around future interventions. The model estimates an individual patient’s risk at three, five and 10 years and revises the outlook with each new ultrasound. The tool is used to help inform care but requires external validation from clinicians. 

“Using technology to bring together and analyze information that can help us predict the duration of implanted heart valves is a promising step towards enhanced outcomes and more personalized care for patients,” said Lars G. Svensson, MD, PhD, Chief, Heart, Vascular & Thoracic Institute at Cleveland Clinic.

The heart valve study illustrates the broader potential of the collaboration. The same technology could help health systems learn from their own experience to understand which patients would benefit from certain therapies, which treatments hold up over time, and why outcomes differ between patients who look alike on paper. Looking ahead, Synapsis AI agents will continuously train predictive models of this kind, so that recommendations for the next recommended action in a patient’s care keeps improving in accuracy as precision medicine advances.

About Dyania Health
Dyania Health exists so that no patient is missed because the answer was buried in their chart. Its clinical reasoning engine, Synapsis AI, reads a patient’s entire medical history, across years of notes, reports and results, and answers clinical questions with the evidence to back them, so care teams can see which patients need attention, which treatments are working and what should happen next. It does this for every patient in a health system, inside the hospital firewall, with no record ever leaving. Health systems use Synapsis AI to find patients who need care they have not yet received, strengthen registries and quality programs, and turn their own clinical experience into better outcomes for the next patient. Dyania Health is headquartered in Jersey City, New Jersey.

For more details, please visit Dyania Health’s website at https://dyaniahealth.com/

For Media Quiries: contact Sam@dyaniahealth.com 

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SOURCE Dyania Health

PITTSBURGH, Nov. 13, 2026 /PRNewswire/ — “I have been in the agriculture field for 5 years. This time has allowed me to witness many violations to OSHA rules. I thought there should be an autonomous confined space attendant,” said an inventor from Newtown, Indiana. As a result, he developed the patent-pending SOCSA SELF OPERATING CONFINED SPACE ATTENDANT, designed specifically to replace the human factors such as lack of attention, poor decision making, inaction or lack of training, and failure to recognize hazards.

InventHelp Invention Spotlight: SOCSA SELF OPERATING CONFINED SPACE ATTENDANT Solves Safety Issues

Provides a partially autonomous confined space attendant.Would require minimal human intervention.Helps promote OSHA mandated attended services such as atmospheric readings, eyes on entrants, lighting, emergency procedures, etc.

InventHelp Client’s Invention for All Industries

With more industries embracing added safety measures, there may be a demand for a partially autonomous confined space attendant. The SOCSA SELF OPERATING CONFINED SPACE ATTENDANT offers an innovative design that is easy to employ.

InventHelp’s Invention Submission Process & Potential Licensing Opportunities

The design has been submitted to the Indianapolis sales office of InventHelp.The invention is available for licensing or sale to manufacturers or marketers who may wish to bring it to market.For more information, write Dept. 25-SGM-765, InventHelp, 100 Beecham Drive, Suite 110, Pittsburgh, PA 15205-9801, or call (412) 288-1300 ext. 1368.Visit InventHelp.com to learn more about InventHelp’s Invention Services.

About InventHelp: Empowering Inventors with Assistance, Guidance, and Potential Visibility

InventHelp is one of America’s largest and longest-running invention-service companies, helping inventors and entrepreneurs submit invention ideas to industry. Since 1984, the company has assisted clients with invention submission, prototype modeling services, invention websites, patent referral services, and more. InventHelp’s team attempts to connect inventors with companies looking for new product ideas and provides services on how to present, promote and protect inventions.

InventHelp has a network of regional sales offices across the U.S. and Canada.  InventHelp attempts to connect inventions with companies interested in reviewing new product concepts. Through its Invention Services, InventHelp provides confidentiality, step-by-step support, and help to innovators who wish to submit their inventions to industry.  To learn more about InventHelp, visit InventHelp.com.

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SOURCE InventHelp