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What is this thing called 'Internet'?

According to a survey conducted by the Australian Journal of Nursing in 1994, 43% of nurses owned personal computers and another 28% were considering the purchase of one in the next year. Given such a high ownership rate, and the interest in the 'Net' itself, some understanding of the fundamentals of online computing and the Internet would seem timely.

Australia↗

Decoding the spatiotemporal patterns of food spoilage microbial communities: Integrating multi-omics and artificial intelligence to enable precision preservation.

In the global food supply chain, food wastage caused by spoilage has resulted in significant economic losses, food shortages, and environmental pressure. This process is fundamentally driven by the spatiotemporal dynamics of microbial communities. However, traditional research methods struggle to elucidate the complex mechanisms of spatial heterogeneity, interspecies interactions, and functional succession. This limits the development of effective preservation strategies. This review systematically reviews the cutting-edge progress of integrating multi-omics technologies and artificial intelligence (AI) to study food spoilage microbial communities, breaking through this bottleneck. We propose an intelligent theoretical framework that could potentially analyze microbial metabolic activities and predict dynamic shelf life if implemented. The conceptual framework integrates multidimensional data, including spatial metabolomics, temporal metatranscriptomics, single-cell transcriptomics, and longitudinal metagenomics. It can also be combined with AI models, such as graph neural networks. The article elaborates on the principles and applications of spatio-temporal monitoring technologies, such as nano secondary ion mass spectrometry, hyperspectral imaging, and the Internet of Things sensing. Through illustrative cases of typical perishable foods, it also explores how such a multi-omics - AI system might be applied to spoilage warning and precise intervention. Additionally, the article addresses the current challenges in data coverage, model generalization, and federated learning implementation. Then the research further explores emerging areas such as engineered probiotics, edge AI, and microfluidic sensing. These areas are targeted at transforming food preservation from an empirical control approach to a data-driven, precise regulatory framework. This transformation provides theoretical support and technical approaches for developing a smart, sustainable food preservation system.

Multiomics↗

[Internet in medicine--development and perspectives].

Internet is one of information technologies marking the transition from the second to the third millennium. The present role and expansion of Internet in medicine and healthcare is reviewed together with the perspective of further development. The beginning and initial expansion of the use of Internet in medicine are described. The World Wide Web (WWW or Web) is recognized as a major reason for this expansion, reaching a state described as a Web-pandemic. The rapid increase of the number of papers dealing with Internet in medical literature is presented as well as the appearance of several journals dedicated to Internet in medicine. First specialized symposia, among them MEDNET world conferences, are noted. First uses of Internet in medicine comprised databases, discussion groups, electronic newsletters, software archives and online public access catalogues. The appearance of the Web has led to a significant improvement of the Internet use in medicine, which is reflected in an exponential increase in the number of publications. It is noted that Internet allows "to do old things in new ways", but also "to do new things". It has become clear that the information revolution evoked by the internet shall leave a deep trace in medicine, as health information has become accessible to the public and ceased to be in exclusive control of health professionals. New medical fields--telemedicine and cybermedicine--appeared as the result of the development and global expansion of information and communication technologies, with cybermedicine dealing more specifically with the use of Internet. The advantages and disadvantages of cybermedicine are discussed, and major problems related to the quality of health information are highlighted. Several systems for quality criteria of health related Web-sites are described, indicating that Websites have to conform with the quality criteria such as transparency and honesty, accountability, privacy and data protection, currency, accountability and accessibility. A review of the development of the use of Internet in medicine in Croatia is given. It is ever more recognized worldwide that the Internet is capable to create conditions for partnership between patients and clinicians. In concluding remarks, the reasons are given for a sooner access to the Internet and its daily use in healthcare activity.

Croatia↗

Effectiveness and usability of artificial intelligence-powered assistive technologies in Supporting daily activities of children with cerebral palsy: a systematic review.

BACKGROUND: Cerebral Palsy (CP) is the main cause of motor disabilities in childhood, necessitating innovative approaches to rehabilitation and assistive technology (AT). Simultaneously, artificial intelligence (AI) is increasingly being integrated into devices to create more adaptive, personalized, and effective AT. This systematic review aimed to evaluate the effectiveness and usability of AI-powered assistive technologies designed to support daily activities and rehabilitation in children with CP. MATERIALS AND METHODS: Five databases, including Scopus, Web of Science, PubMed, Embase, and IEEE Xplore, were systematically searched, and 23 articles were included in the final analysis. Articles were identified, selected, and categorized into emerging thematic areas based on the primary function and application of the technology. RESULTS: Five key thematic topics were identified: 1) AI-driven motor rehabilitation and gait training for functional mobility; 2) intelligent assessment and monitoring systems for clinical decision support; 3) AI-supported communication, social interaction, and intention recognition tools; 4) gamified and virtual reality-based interventions to enhance engagement and usability; and 5) smart assistive systems supporting daily living and independent mobility. The findings demonstrate a strong trend toward the application of AI technologies in personalized, engaging, and data-driven interventions for children with CP. However, the field is predominantly in the proof-of-concept stage, with limitations including small sample sizes, lack of long-term clinical validation, challenges in user-centered design, and usability for children with CP. CONCLUSION: AI-powered assistive technologies hold significant potential for transforming the care of children with CP by enabling highly personalized and engaging interventions. To actualize this potential, future work must realize that practical application remains challenging owing to limited clinical validation, technological integration, and usability barriers for children with CP. Future research must prioritize user-centered design and multidisciplinary collaboration to ensure that AI and robotic advancements improve the usability and quality of life for children with CP.

Humans↗

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor-Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study.

BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Early identification of individuals at an elevated risk of these conditions, such as those presenting with mild cognitive impairment (MCI) or prefrailty, can provide a critical window for prompt intervention aimed at preventing or reversing disease progression. To promote such early identification, there is a burgeoning interest in the use of digital sensor technology and predictive modeling. OBJECTIVE: This study aimed to use a continuous, home-based monitoring sensor system for older adults to distinguish those exhibiting normal aging from those with MCI, early dementia, prefrailty, or frailty, and to predict their transition from normal aging to one of these conditions. METHODS: This longitudinal cohort study will recruit 200 community-dwelling adults aged ≥65 years with normal cognition or MCI at baseline. A multi-sensor system will be installed in participants' homes, including passive infrared motion sensors, door contact sensors, bed sensors, medication box sensors, wearable activity bands, and Bluetooth proximity beacons. These devices will continuously capture spatiotemporal activity patterns, mobility indicators, sleep behaviors, and medication-taking routines. Annual assessments will include standardized cognitive tests (eg, Montreal Cognitive Assessment, Mini-Mental State Examination, Rey Auditory-Verbal Learning Test, digit span, Color Trails Test, semantic fluency, Stroop), frailty measures (modified Fried phenotype, gait speed, grip strength), mental health scales, sleep quality, and psychosocial indicators. Sensor-derived features-such as gait variability, activity regularity, sleep fragmentation, and medication adherence patterns-will be integrated with clinical data to develop supervised machine learning models. Planned approaches include logistic regression, random forests, gradient boosting, and deep learning. Model performance will be evaluated using cross-validation and independent test sets. Primary metrics will include area under the receiver operating characteristic curve, sensitivity, specificity, precision, recall, and F1-score. Models will be benchmarked against gold-standard clinical diagnoses and validated using temporal subsets of the dataset. RESULTS: Enrollment for this study started in November 2019 and will continue until March 2030. As of June 2025, we have enrolled 138 participants. Full data analysis has yet to begin. CONCLUSIONS: We aim to develop a reliable and effective sensor system for in-home use that will facilitate the early detection of cognitive and physical decline. In so doing, it will add to our current understanding of digital biomarkers. It is common for older adults to seek clinical intervention only when their cognitive impairment has already reached an advanced stage. The implementation of readily deployable sensor systems within community settings presents us with opportunities for prompt intervention, which holds the potential for delaying or reversing disease progression and allowing for a greater number of functional and meaningful years.

Humans↗

[Modern discussion forum "depression, suicidality"].

Five years ago, with the appearance on the internet of the competence network "Depression, Suicidality", a conducted discussion forum was established to serve as a platform for an internet-based self-help group. Today, the forum has more than 3,000 registered visitors, and is the largest virtual group concerned with depression in the German-speaking area. In comparison with a "real" self-help group, this virtual form offers specific possibilities to those concerned, such as, for example, 24-hour access to other sufferers. Admittedly, specific limitations must nevertheless be noted, which, among other things, have to do with the particular features of internet-based communication and the heterogeneity of the participants. Overall, this virtual self-help group represents a rational and useful addition to the existing possibilities for self help.

Depressive Disorder↗

The Internet. Building knowledge & offering integrated solutions to health care.

Technology is changing the way we do things, including how the health care community provides information and services to the public. Disparate populations, once separated by distance and time, will experience dramatic changes as they become part of a global community. Fundamental changes will continue to occur in the way health information is received, utilized, exchanged and stored. This article explores access to the Internet as well as applications of interactive health technology and the emerging issues surrounding technology use.

Computer Security↗

1927 reference in the new millennium: where is the Automat?

James Ballard, director at the Boston Medical Library, tracked questions he received at the reference desk in 1927 to recognize the trend of queries and to record the information for future use. He presented a paper on reference services that listed sixty of his reference questions at the Thirtieth Annual Meeting of the Medical Library Association (MLA) in 1927. During a two-month period in 2001, the authors examined Ballard's questions by attempting to answer them with print sources from the 1920s and with the Internet. The searchers answered 85% of the questions with the Internet and 80% with 1920s reference sources. The authors compared Internet and 1920s print resources for practical use. When answering the questions with 1920s resources, the searchers rediscovered a time in health sciences libraries when there was no Ulrich's Periodicals Directory, no standardized subject headings, and no comprehensive listings of available books. Yet, the authors found many of the 1920s reference materials to be quite useful and often multifunctional. The authors recorded observations regarding the impact of automation on answering reference questions. Even though the Internet has changed the outward appearance of reference services, many things remain the same.

History, 20th Century↗

A new industrial order for physicians: a talk with Jeff C. Goldsmith, PhD. Interview by Richard L. Reece.

Richard L. Reece, MD, interviewed Jeff C. Goldsmith, PhD, President of Health Futures, Inc. on October 12, 1999 to discuss how the Internet will affect health care delivery in the millennium. One of the most profound changes that he sees is how the relationship between physicians and patients will be altered. Empowered consumers are where the real revolution is happening--a trend sometimes overlooked by physicians. Goldsmith says, "The key thing physicians have missed is that the patient is in charge of the process.... The Internet has enabled patients to aggregate their collective experience across disease entities." But there is too much information. "It is almost universally acknowledged by patients and physicians that there is a terrible quality problem. Getting from information to knowledge is a huge commercial opportunity for somebody." He doesn't think that people have put enough emphasis on the collective learning part of this new technology.

Attitude to Computers↗