Science and Technology

How are digital biomarkers changing health monitoring and diagnostics?

Bridging diagnostic gaps with digital biomarkers

Digital biomarkers refer to objective and measurable physiological and behavioral information gathered via digital devices, including smartphones, wearable sensors, and connected medical instruments. In contrast to traditional biomarkers that typically depend on lab evaluations or in‑clinic assessments, digital biomarkers are produced continuously within everyday environments. They capture indicators such as heart rhythms, activity levels, sleep behaviors, vocal attributes, typing patterns, and movement dynamics, turning routine interactions with technology into meaningful health insights.From Episodic Care to Continuous MonitoringConventional health checkups usually occur sporadically through infrequent clinic appointments and brief diagnostic evaluations, while digital biomarkers move this approach toward ongoing monitoring. Around-the-clock…
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How are zero-knowledge proofs expanding beyond crypto into enterprise uses?

Zero-knowledge proofs: from academia to enterprise impact

Zero-knowledge proofs, or ZKPs, first emerged within academic cryptography and later entered the public spotlight through blockchain technology and privacy-driven cryptocurrencies. Their fundamental appeal lies in a remarkable idea: a party can verify the truth of a claim without disclosing the data that substantiates it. As organizations confront increasing demands to safeguard confidential information, meet rigorous regulatory requirements, and still operate collaboratively across different entities, this approach is becoming valuable well beyond digital asset ecosystems.A practical view of zero-knowledge proofsAt an enterprise level, ZKPs enable verifiable trust with minimal disclosure. Instead of sharing raw data, organizations can share proofs that…
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What trends are shaping satellite internet and next-gen connectivity?

Satellite internet trends: what’s shaping next-gen connectivity?

Satellite internet has moved from a niche solution for remote locations to a cornerstone of next-generation connectivity. Falling launch costs, advances in satellite design, and tighter integration with terrestrial networks are reshaping how data is delivered globally. The result is a faster, more resilient, and more inclusive connectivity ecosystem that complements fiber, 5G, and future 6G networks.Low Earth Orbit Constellations Redefine PerformanceThe most transformative trend is the rise of Low Earth Orbit (LEO) satellite constellations. Orbiting at altitudes of roughly 300 to 1,200 kilometers, LEO satellites dramatically reduce latency compared to traditional geostationary satellites positioned 35,786 kilometers above Earth.Major effects…
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Blue Origin rocket explodes during ground test

Ground test explosion: Blue Origin rocket incident

Blue Origin faced a significant reversal following an incident with its New Glenn rocket during a ground engine test in Florida, introducing fresh doubts about the company’s bold objectives for commercial launches, reusable rocket development, and upcoming lunar exploration initiatives.Blue Origin’s efforts to establish itself as a major force in the modern space industry encountered another challenge after a New Glenn rocket experienced a serious anomaly during a hotfire test at Cape Canaveral Space Force Station in Florida. The incident, which occurred during a routine preflight procedure, drew widespread attention after footage circulated online appearing to show an explosion at…
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Why is industrial IoT shifting toward predictive maintenance and autonomy?

Why is industrial IoT shifting towards predictive maintenance and autonomy?

Industrial Internet of Things, widely known as Industrial IoT or IIoT, has progressed from simple connectivity and oversight into a strategic backbone for smarter operations, and this shift is seen most clearly in the departure from reactive and preventive maintenance toward predictive maintenance paired with rising degrees of operational autonomy, a change propelled not by hype but by tangible economic, technological, and operational pressures shaping contemporary industries.Constraints Inherent in Conventional Maintenance ApproachesFor decades, industrial assets have been managed through either reactive or preventive strategies, with reactive maintenance addressing breakdowns only after they occur, while preventive maintenance depends on routine service…
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How are software supply-chain attacks changing development practices?

How do software supply chain attacks impact development practices?

Software supply-chain attacks have evolved from a niche worry into a major force reshaping contemporary software engineering, as adversaries exploit the trusted tools, libraries, and services developers rely on, enabling a single vulnerability to expose countless organizations, while high-profile breaches in recent years have transformed how teams architect, create, and sustain software, driving security considerations much earlier and more deeply into the entire development process.Understanding Software Supply-Chain AttacksA software supply-chain attack occurs when attackers infiltrate the development or distribution process rather than directly attacking the end application. Instead of breaking into a single system, they compromise shared components such as…
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How are companies preparing for phishing and deepfake threats at scale?

How do businesses prepare for widespread phishing and deepfake attacks?

Phishing has evolved from crude email scams into highly targeted, data-driven attacks, while deepfakes have moved from novelty to operational threat. Together, they create a scalable risk that can undermine trust, drain finances, and compromise strategic decisions. Companies are preparing for these threats by recognizing a central reality: attackers now combine social engineering, artificial intelligence, and automation to operate at unprecedented speed and volume.Recent industry data shows that phishing remains the most common initial attack vector in major breaches, and the rise of audio and video deepfakes has added a new layer of credibility to impersonation attacks. Executives have been…
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Placebo and nocebo: the power of expectation in health

Health outcomes and expectation: exploring placebo and nocebo

Expectations influence physiology, and the terms placebo and nocebo describe the corresponding beneficial or adverse results shaped by those expectations. A placebo effect arises when an inert intervention or therapeutic context leads to an improvement in health, whereas a nocebo effect appears when harmful outcomes or unwanted symptoms emerge due to negative expectations. These responses are not imaginary; they trigger observable shifts in symptoms, biological indicators, neural activity, and behavior. Grasping these effects is essential for clinical practice, research design, public health strategies, and responsible communication.Essential Terms and Clear DistinctionsPlacebo: improvement attributable to psychological and contextual factors rather than the…
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Obesity: why the approach is changing

Redefining the approach to obesity

Obesity is increasingly understood not as a matter of willpower or aesthetics, but as a multifaceted, long‑term medical condition shaped by biological, behavioral, social, and environmental influences. This broader understanding has prompted major shifts in prevention strategies, clinical practice, public policy, and scientific research. This article outlines the factors behind this change, reviews supporting evidence and examples, presents emerging tools and care models, and examines the challenges and consequences for patients, healthcare professionals, and communities.Understanding obesity and its significanceObesity is usually defined by body mass index (BMI) thresholds (BMI ≥30 kg/m² for adults), but BMI is a crude measure that…
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How are quantum sensors impacting navigation and medical imaging research?

Unpacking the ethical questions in AI science

Artificial intelligence systems are increasingly used to generate scientific results, including hypotheses, data analyses, simulations, and even full research papers. These systems can process massive datasets, identify patterns faster than humans, and automate parts of the scientific workflow that once required years of training. While these capabilities promise faster discovery and broader access to research tools, they also introduce ethical debates that challenge long-standing norms of scientific integrity, accountability, and trust. The ethical concerns are not abstract; they already affect how research is produced, reviewed, published, and applied in society.Authorship, Attribution, and AccountabilityOne of the most pressing ethical issues centers…
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